Welcome to Dr. Ling WANG's Home Page

 
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Professor, Dr. Ling WANG (王凌)
Department of Automation, Tsinghua University, Beijing 100084, P. R. China

Email: wangling@mail.tsinghua.edu.cn
Tel: 86-10-62783125-272, 62785845-272
Fax: 86-10-62786911

Google Citations: http://scholar.google.com.sg/citations?user=lC7bVMwAAAAJ&hl=en

Last Update: 2014/02/22                           中文版

You are the Description: C:\images\counter.php?counter=counter_wanglingvisitor to my homepage since 08/30/2005.


EXPERIENCE & EDUCATION

RESEARCH INTEREST

CURRICULUM

STUDENT

PROJECT

AWARD

DISSERTATION

PUBLICATIONS

ACADEMIC

 


 

 

l        EXPERIENCE & EDUCATION

[1]      Full Professor, Department of Automation, Tsinghua University, 2008.12~

[2]      Visiting Scholar, Department of Industrial and Operations Engineering, University of Michigan, 2007.01-2008.01

[3]      Associate Professor, Department of Automation, Tsinghua University, 2002.12~2008.11

[4]      Assistant Professor, Department of Automation, Tsinghua University, 1999.10~2002.11

[5]      Ph.D. student in Department of Automation, Tsinghua University, 1995~1999

[6]      B.S. student in Department of Automation, Tsinghua University, 1990~1995

[7]      Birth Date and Place: 1972-08-03, Wujin City of Jiangsu Province

 

l        RESEARCH INTEREST

[1]      Modeling, planning, scheduling and optimization of manufacturing systems

[2]      Optimization theory, algorithms and applications based on computational intelligence, including genetic algorithm, simulated annealing, tabu search, particle swarm optimization, differential evolution, estimation of distribution algorithm, harmony search, artificial bee colony, shuffled frog leaping, neural networks, quantum computing, etc

[3]      Simulation optimization, ordinal optimization

 

l        CURRICULUM

[1]      Intelligent optimization algorithms and applications. (for undergraduate students)

[2]      Principles of Automatic Control. (for undergraduate students)

[3]      Production scheduling and intelligent optimizations. (for graduate students)

[4]      Neural networks. (for graduate students)

[5]      Literature retrieving and paper writing. (for engineering graduate students)

 

l        STUDENT

Ph.D. STUDENT

Ling-Lai LI (’2001)

Yi-Nan GUO (’2001)

Bo LIU (’2001)

Bin QIAN (’2004) [Excellent Ph.D. Thesis of Tsinghua University]

Chen FANG (’2008)

Ye XU (’2009)

Sheng-Yao WANG (’2010)

Xiao-Long ZHENG (’2011)

Jing-Nan SHEN (’2012)

 

MS STUDENT

Liang ZHANG (’2002) [Excellent M.S. Thesis of Tsinghua University]

Hui PAN (’2003)

Bin-Bin LI (’2004) [Excellent M.S. Thesis of Tsinghua University]

Qie HE (’2005) [Excellent M.S. Thesis of Tsinghua University]

Fu-Zhuo HUANG (’2006)

Ling-PO LI (’2007) [Excellent M.S. Thesis of Tsinghua University]

Gang ZHOU (’2009) [Excellent M.S. Thesis of Tsinghua University]

Peng ZHANG (’2010)

Huan-Yu ZHENG (’2012)

Jin DENG (’2013)

 

ENGINEERING MS STUDENT

Yi LU (’2003)

Liang MA (’2006)

 

UNDERGRADUATE STUDENT

Wen-Feng LI, Ming YAN (’2000)

Ling-Lai LI, Wei-Rong ZHU (’2001)

Liang ZHANG, Wei ZHOU (’2002)

Li-Jun JI, Xuan HUANG (’2003)

Bin-Bin LI, Hao WU (’2004)

Qie HE (’2005) [Excellent B.S. Thesis of Tsinghua University]

Fu-Zhuo HUANG, Yu ZHOU (’2006)

Bin ZOU (’2008)

Ye XU (’2009)

Sheng-Yao WANG (’2010) [Excellent B.S. Thesis of Tsinghua University]

Xue-Ting FAN (’2010)

Xiao-Long ZHENG, Xiang ZHONG (’2011)

Jing-Nan SHEN (’2012)

Huan-Yu ZHENG (’2012) [Excellent B.S. Thesis of Tsinghua University]

l        PROJECT

[1]      NSFC Project (61174189): Study on complex resource constrained project scheduling problems and memetic algorithms. (590,000RMB, PI) (2012.1~2015.12)

[2]      NSFC Project (70871065): Study on learning-based swarm intelligent scheduling theory and algorithms. (250,000RMB, PI) (2009.1~2011.12)

[3]      NSFC Project (60774082): Optimization and scheduling theory and algorithms based on differential evolution and quantum evolution for complex manufacturing systems. (270,000RMB, PI) (2008.1~2010.12)

[4]      NSFC Project (60374060): Study on intelligent simulation optimization theory and algorithms for complex manufacturing systems. (150,000RMB, PI) (2004.1~2006.12)

[5]      NSFC Project (60204008): Computational intelligence based hybrid optimization theory and algorithms for complex systems. (200,000RMB, PI) (2003.1~2005.12)

[6]      NSFC Project (60834004): Research on theories and algorithms of real-time scheduling and optimization control for complex manufacturing process of chips and their applications. (2,000,000RMB, Investigator) (2009.1~2012.12)

[7]      NSFC Project (60574072): Study on optimization and scheduling theory and algorithms based on PSO for complex manufacturing process. (230,000RMB) (2006.1~2008.12)

[8]      NSFC Project (60174022): Study on several key problems about robust control modeling. (50,000RMB, Investigator) (2002.1~2002.12)

[9]      NSFC Project (69684001): Control and optimization theory and methods for a class of hybrid dynamic systems. (149,000RMB, Investigator) (1997.1~1999.12)

[10]  Program for New Century Excellent Talents in University (NCET-10-0505). (500,000RMB, PI) (2010.1~2012.12)

[11] Doctoral Program Foundation of Institutions of Higher Education of China (20130002110057): Study on distributed shop scheduling based on cooperative estimation of distribution algorithms. (120,000RMB, PI) (2014.1~2016.12)

[12]  Doctoral Program Foundation of Institutions of Higher Education of China (20100002110014): Study on resource constrained project scheduling based on novel hybrid swarm intelligence. (60,000RMB, PI) (2011.1~2013.12)

[13]  Young Talent of Science and Technology of Beijing City (2004A41). (70,000RMB, PI) (2004.7~2007.7)

[14]  The Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry: Study on optimization and scheduling based on hybrid differential evolution. (20,000RMB, PI) (2009.1~2010.12)

[15]  National Science and Technology Major Project of China (2011ZX02504-008):Study on intelligent scheduling and quality optimization techniques for integrated circuits manufacturing line. (5,200,000RMB, Investigator) (2011.1~2013.12)

[16]973 Sub-project (2013CB329503)Brain information based encoding and decoding oriented machine learning approaches. (2,360,000RMB, Investigator) (2013.01~2017.12)

[17]  973 Sub-Project (2009CB320602):Study on real time intelligent operation optimization theory and methods based on data and knowledge for complex manufacturing total process. (3,080,000RMB, Investigator) (2011.01~2013.08)

[18]  973 Sub-Project (2002CB312203): Study on real-time, intelligent operation and optimization theories and methods for complex manufacturing process. (340,000RMB, Investigator) (2002.12~2008.5)

[19]  973 Sub-Project (G1998020310): Hybrid electrical systems. (Personal funding 20,000RMB, Investigator) (1998.12~2003.5)

[20]  863 Project (2007AA04Z155): Intelligent planning and dynamic optimization & scheduling technologies for manufacturing processes in process industrial enterprises. (710,000RMB, Co-PI) (2008.1~2009.12)

[21]  863 Project (2001AA411220): Overall plan and key technology for Chinese petrochemical automatic systems. (Personal funding 39,000RMB, Investigator) (2001.12~2002.11)

[22]  863 Project (863-511-930): Management mode and integration technology for process CIMS industries. (Personal funding 70,000RMB, Investigator) (2001.1~2001.12)

[23]  863 Project: CIMS for Dalian petrochemical company. (Personal funding 20,000RMB, Investigator) (1999.10~2000.3)

[24]  Key Member Program of Tsinghua University: Study on hybrid optimization algorithms. (Personal funding 60,000RMB) (2000.6~2002.5)

[25]  985 Project: Theory, methods and technologies of system integration for 21 century oriented process industries. (Personal funding 10,000RMB, Investigator) (2001~2002)

[26]  Academic Young Talent of Tsinghua University and Teaching & Paper Foundation. (250,000RMB, PI) (2002~2011)

[27]  International Cooperation Project: Effective simulation and optimization for service network. (Personal funding 65,000RMB, Investigator) (2002.4~2004.4)

[28]  Company Cooperation Project: Development of HIS. (Personal funding 50,000RMB, Co-PI) (2001.5~2001.12)

     AWARD

[1]      2009’ Program for New Century Excellent Talents in University.

[2]      2009’ Academic Young Talent of Tsinghua University.

[3]      2004’ Young Talent of Science and Technology of Beijing City.

[4]      2010’ SCOPUS Young Researcher New Star Scientist Award.

[5]      2011’ Electronics and Information Science and Technology Award (2nd Place Prize) by Chinese Institute of Electronics.

[6]      2008’ Science and Technology Award (3rd Place Prize) by Beijing City.

[7]      2007’ Natural Science Award (2nd Place Prize) by MOE of China.

[8]      2003’ National Natural Science Award (1st Place Prize) nominated by Ministry of Education of China.

[9]      Outstanding Ph.D. Dissertation Award of Tsinghua University (1st Place Prize).

[10]  2005-2010 Engineering Applications of Artificial Intelligence Top Cited Article Awarded by Elsevier.

[11] 2008-2012 Computers & Operations Research Most Cited Articles Awarded by Elsevier.

[12] 2010-2012 Computers & Chemical Engineering Most Cited Articles Awarded by Elsevier.

[13] 2013’ Best Paper Award of The 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII’2013.

[14]  2011’ Best Paper Award of the Seventh International Conference on Intelligent Computing, ICIC’2011.

[15]  2006’ Excellent Paper of IET International Conference on Informatics and Control Technologies, IET-ICT’2006.

[16]  2002’ Outstanding Paper Award of IEEE International Conference on Machine Learning and Cybernetics, IEEE-ICMLC’2002.

[17]  2010’ Finalist for Zhang Si-Ying Outstanding Youth Paper Award, CCDC’2010.

[18]  2004’ Excellent Paper of Chinese Control and Decision Conference, CCDC'2004.

[19]  The Academic Keys Who's Who in Engineering Higher Education (WWEHE).

[20]  2012’ Excellent Textbook of Tsinghua University (2nd Place Prize)

[21]  2008’ Excellent Textbook of Tsinghua University (2nd Place Prize)

[22]  2004’ Excellent Textbook of Tsinghua University (2nd Place Prize).

[23]  2002’ Excellent Textbook in 11th Textbook Festival of Tsinghua University Press (1st Place Prize).

[24]  2005’ Excellent Class Advisor of Tsinghua University (1st Place Prize).

[25]  2004’ Excellent Class Advisor of Tsinghua University (1st Place Prize).

l        DISSERTATION

[1]      Ph. D. Dissertation: Study on some problems for hybrid optimization strategies and neural networks, 1999.

[2]      M.S. Dissertation: Stochastic optimization algorithms and their hybrid strategies, 1997.

[3]      B.S. Dissertation: Optimization problem on route of 1/N custom stream, 1995.

       PUBLICATIONS

[Till 2014-01-01 , SCI Times Cited 1777, h index=26, Google Scholar Times Cited > 8400, Google-h index=41, CNKI Times Cited > 5500]

BOOK:

[1]     Wang L, Qian B. Hybrid differential evolution and scheduling algorithms. Beijing: Tsinghua University Press, 2012.

[2]     Wang L, Liu B. Particle swarm optimization and scheduling algorithms. Beijing: Tsinghua University Press, 2008(First), 2011(Second). (SCI Times Cited 8)

[3]     Wang JC, Wang L, Jin YH (Translation). Process dynamics and control (2nd edition). Beijing: Publishing House of Electronics Industry, 2006.

[4]     Wang L. Shop scheduling with genetic algorithms. Beijing: Tsinghua University & Springer Press, 2003. (SCI Times Cited 41, Google Scholar Times Cited > 300, CNKI Times Cited > 800)

[5]     Wang L. Intelligent optimization algorithms with applications. Beijing: Tsinghua University & Springer Press, 2001.10(First), 2003.03(Second), 2004.03(Third), 2004.11(Fourth). (SCI Times Cited 66, Google Scholar Times Cited > 1000, CNKI Times Cited > 2800)

[6]     Huang DS, Gupta P, Wang L, Gromiha M. (Eds.) Emerging intelligent computing technology and applications. Communications in Computer and Information Science, CCIS 375, Springer, 2013.

[7]     Wang L, Li BB. Quantum-inspired genetic algorithms for flow shop scheduling. In: Quantum Inspired Intelligent Systems, Nedjah N, Coelho LDS and Mourelle LDM, Eds. Berlin: Springer, 2008. Studies in Computational Intelligence (SCI), 2008, 121: 17-56. (SCI Times Cited 1)

[8]     Wang L. Heuristic optimization method. In: Chinese Encyclopedia, 2nd ed. Beijing: Chinese Encyclopedia Press, 2004.

 

INTERNATIONAL JOURNAL PAPER:

Ø  Forthcoming

[1]     Wang SY, Wang L, Liu M, Xu Y. An order-based estimation of distribution algorithm for stochastic hybrid flow-shop scheduling problem. International Journal of Computer Integrated Manufacturing. (SCI, EI)

[2]     Wang SY, Wang L, Liu M, Xu Y. A hybrid estimation of distribution algorithm for the semiconductor final testing scheduling problem. Journal of Intelligent Manufacturing. (SCI, EI-IP52728671)

[3]     Xu Y, Wang L, Wang SY, Liu M. An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem. Engineering Optimization. (SCI, EI-IP52809163)

[4]     Xu Y, Wang L, Wang SY, Liu M. An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time. Neurocomputing. (SCI, EI)

[5]     Pan QK, Wang L, Li JQ, Duan JH. A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimization. OMEGA-International Journal of Management Science, 2014, 45: 42-56. (SCI)

[6]     Zheng XL, Wang L, Wang SY. A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem. Knowledge-Based Systems, 2014, 57: 95-103. (SCI, EI-20140617277481)

[7]     Wang L, Fang C, Suganthan PN, Liu M. Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm. Expert Systems with Applications, 2014, 41(5): 2496-2513. (SCI, EI-20135117098362)

 

Ø  2013

[8]     Wang L, Fang C, Mu CD, Liu M. A Pareto-archived estimation-of-distribution algorithm for multi-objective resource-constrained project scheduling problem. IEEE Transactions on Engineering Management, 2013, 60(3): 617-626. (Regular Paper). (SCI-186EY, EI-20133216578775)

[9]     Xu Y, Wang L, Wang SY, Liu M. An effective shuffled frog-leaping algorithm for solving the hybrid flow-shop scheduling problem with identical parallel machines. Engineering Optimization, 2013, 45(12): 1409-1430. (SCI-233XJ, EI-20134416908346)

[10] Wang SY, Wang L, Liu M, Xu Y. An enhanced estimation of distribution algorithm for solving hybrid flow-shop scheduling problem with identical parallel machines. International Journal of Advanced Manufacturing Technology, 2013, 68(9-12): 2043-2056. (SCI-229KD, EI-20134717007366, SCI Times Cited 1)

[11] Xu Y, Wang L, Liu M, Wang SY. An effective shuffled frog-leaping algorithm for hybrid flow-shop scheduling with multiprocessor tasks. International Journal of Advanced Manufacturing Technology, 2013, 68(5-8): 1529-1537. (SCI-216IU, EI-20134917041493)

[12] Wang SY, Wang L, Liu M, Xu Y. An effective estimation of distribution algorithm for solving the distributed permutation flow-shop scheduling problem. International Journal of Production Economics, 2013, 145(1): 387-396. (SCI-205UO, EI-20133216578924)

[13] Pan QK, Wang L, Sang HY, Li JQ, Liu M. A high performing memetic algorithm for the flowshop scheduling problem with blocking. IEEE Transactions on Automation Science and Engineering, 2013, 10(3): 741-756. (Regular Paper). (SCI-176XD, EI-20140417226823)

[14] Wang SY, Wang L, Xu Y, Liu M. An effective estimation of distribution algorithm for the flexible job-shop scheduling problem with fuzzy processing time. International Journal of Production Research, 2013, 51(12): 3778-3793. (SCI-171II, EI-20133016525433, SCI Times Cited 2)

[15] Wang L, Zhou G, Xu Y, Liu M. A hybrid artificial bee colony algorithm for the fuzzy flexible job-shop scheduling problem. International Journal of Production Research, 2013, 51(12): 3593-3608. (SCI-171II, EI-20133016525421)

[16] Wang L, Wang SY, Liu M. A Pareto-based estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem. International Journal of Production Research, 2013, 51(12): 3574-3592. (SCI-171II, EI-20133016525420, SCI Times Cited 3)

[17] Xu Y, Wang L, Wang SY, Liu M. An effective immune algorithm based on novel dispatching rules for the flexible flow-shop scheduling problem with multiprocessor tasks. International Journal of Advanced Manufacturing Technology, 2013, 67(1-4): 121-135. (SCI-173XX, EI-20134917041668)

[18] Wang L, Zheng XL, Wang SY. A novel binary fruit fly optimization algorithm for solving the multidimensional knapsack problem. Knowledge-Based Systems, 2013, 48: 17-23. (SCI-170ZF, EI-20132316401595, SCI Times Cited 1)

[19] Pan QK, Wang L, Mao K, Zhao JH, Zhang M. An effective artificial bee colony algorithm for a real-world hybrid flowshop problem in steelmaking process. IEEE Transactions on Automation Science and Engineering, 2013, 10(2): 307-322. (Regular Paper). (SCI-172IF, EI-20131616210165, SCI Times Cited 1)

[20] Wang L, Li LP. An effective differential harmony search algorithm for solving non-convex economic load dispatch problems. International Journal of Electrical Power and Energy Systems, 2013, 44(1): 832-843. (SCI-047TQ, EI-20124615670357, SCI Times Cited 5)

 

Ø  2012

[21] Wang L, Wang SY, Xu Y, Zhou G, Liu M. A bi-population based estimation of distribution algorithm for the flexible job-shop scheduling problem. Computers & Industrial Engineering, 2012, 62(4): 917-926. (SCI-929UZ, EI-20121314895267, SCI Times Cited 7)

[22] Wang L, Zhou G, Xu Y, Liu M. An enhanced Pareto-based artificial bee colony algorithm for the multi-objective flexible job-shop scheduling. International Journal of Advanced Manufacturing Technology, 2012, 60(9-12): 1111-1123. (SCI-949YI, EI-20122315091899, SCI Times Cited 4)

[23] Wang L, Zhou G, Xu Y, Wang SY, Liu M. An effective artificial bee colony algorithm for the flexible job-shop scheduling problem. International Journal of Advanced Manufacturing Technology, 2012, 60(1-4): 303-315. (SCI-920LX, EI-20121514942599, SCI Times Cited 6)

[24] Wang L, Xu Y, Zhou G, Wang SY, Liu M. A novel decoding method for the hybrid flow-shop scheduling problem with multiprocessor tasks. International Journal of Advanced Manufacturing Technology, 2012, 59(9-12): 1113-1125. (SCI-916KV, EI-20124015502257, SCI Times Cited 4)

[25] Chen J, Pan QK, Wang L, Li JQ. A hybrid dynamic harmony search algorithm for identical parallel machines scheduling. Engineering Optimization, 2012, 44(2): 209-224. (SCI-911TV, EI-20120514733885)

[26] Zhao JQ, Wang L, Zeng P, Fan WH. An effective hybrid genetic algorithm with flexible allowance technique for constrained engineering design optimization. Expert Systems with Applications, 2012, 39(5): 6041-6051. (SCI-903XF, EI-20120314701282, SCI Times Cited 2)

[27] Wang L, Wang SY, Xu Y. An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem. Expert Systems with Applications, 2012, 39(5): 5593-5599. (SCI-903XF, EI-20120314701225, SCI Times Cited 5)

[28] Wang L, Li LP. A coevolutionary differential evolution with harmony search for reliability-redundancy optimization. Expert Systems with Applications, 2012, 39(5): 5271-5278. (SCI-903XF, EI-20120314701182, SCI Times Cited 5)

[29] Wang L, Zhong X, Liu M. A novel group search optimizer for multi-objective optimization. Expert Systems with Applications, 2012, 39(3): 2939-2946. (SCI-858SP, EI-20114514491400, SCI Times Cited 1)

[30] Wang L, Fang C. A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem. Expert Systems with Applications, 2012, 39(3): 2451-2460. (SCI-858SP, EI-20114514491345, SCI Times Cited 2)

[31] Fang C, Wang L. An effective shuffled frog-leaping algorithm for resource-constrained project scheduling problem. Computers & Operations Research, 2012, 39(5): 890-901. (SCI-834YO, EI-20113614298097, SCI Times Cited 6)

[32] Pan QK, Wang L. Effective heuristics for the blocking flowshop scheduling problem with makespan minimization. OMEGA-International Journal of Management Science, 2012, 40(2): 218-229. (SCI-825WG, SCI Times Cited 6)

[33] Wang L, Fang C. An effective estimation of distribution algorithm for the multi-mode resource-constrained project scheduling problem. Computers & Operations Research, 2012, 39(2): 449-460. (SCI-828YK, EI-20112414050974, SCI Times Cited 11, ESI Highly Cited Article)

 

Ø  2011

[34] Wang L, Li LP. Fixed-structure H8 controller synthesis based on differential evolution with level comparison. IEEE Transactions on Evolutionary Computation, 2011, 15(1): 120-129. (Regular paper) (SCI-725UL, EI-20110913706589, SCI Times Cited 5)

[35] Pan QK, Wang L, Gao L. A chaotic harmony search algorithm for the flow shop scheduling with limited buffers. Applied Soft Computing, 2011, 11(8): 5270-5280. (SCI-841UI, EI-20114114412316, SCI Times Cited 4)

[36] Xu Y, Wang L. Differential evolution algorithm for hybrid flow-shop scheduling problem. Journal of Systems Engineering and Electronics, 2011, 22(5): 794-798. (SCI-838IW, EI-20120114654782, SCI Times Cited 2)

[37] Wang L, Xu Y. An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems. Expert Systems with Applications, 2011, 38(12): 15103-15109. (SCI-824HQ, EI-20113514271085, SCI Times Cited 5)

[38] Wang L, Fang C. An effective shuffled frog-leaping algorithm for multi-mode resource-constrained project scheduling problem. Information Sciences, 2011, 181(20): 4804-4822. (SCI-802ZG, EI-20113014172409, SCI Times Cited 5)

[39] Liu B, Wang L, Liu Y, Wang SY. A unified framework for population-based metaheuristics. Annals of Operations Research, 2011, 186(1): 231-262. (SCI-777UX)

[40] Wang L, Pan QK, Tasgetiren MF. A hybrid harmony search algorithm for the blocking permutation flow shop scheduling problem. Computers & Industrial Engineering, 2011, 61(1): 76-83. (SCI-775KN, EI-20112013986796, SCI Times Cited 9)

[41] Liang JJ, Pan QK, Chen TJ, Wang L. Solving the blocking flow shop scheduling problem by a dynamic multi-swarm particle swarm optimizer. International Journal of Advanced Manufacturing Technology, 2011, 55(5-8): 755-762. (SCI-774MF, EI-20112514072979, SCI Times Cited 2)

[42] Pan QK, Wang L, Gao L, Li JQ. An effective shuffled frog-leaping algorithm for lot-streaming flow shop scheduling problem. International Journal of Advanced Manufacturing Technology, 2011, 52(5-8): 699-713. (SCI-712IT, EI-20110713659710, SCI Times Cited 6)

[43] Zhao JQ, Wang L. Center based genetic algorithm and its application to the stiffness equivalence of the aircraft wing. Expert Systems with Applications, 2011, 38(5): 6254-6261. (SCI-722GK, EI-20110513630546, SCI Times Cited 4)

[44] Wang L, Xu Y, Li LP. Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm. Expert Systems with Applications, 2011, 38(4): 3238-3245. (SCI-715RY, EI-20110113541979, SCI Times Cited 10)

[45] Pan QK, Wang L, Gao L, Li WD. An effective hybrid discrete differential evolution algorithm for the flow shop scheduling with intermediate buffers. Information Sciences, 2011, 181(3): 668-685. (SCI-692AD, EI-20104713413039, SCI Times Cited 9)

[46] Pan QK, Suganthan PN, Wang L, Gao L, Mallipeddi R. A differential evolution algorithm with self-adapting strategy and control parameters. Computers & Operations Research, 2011, 38(1): 394-408. (SCI-658XO, EI-20104513359260, SCI Times Cited 19)

 

Ø  2010

[47] Wang L, Pan QK, Tasgetiren MF. Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms. Expert Systems with Applications, 2010, 37(12): 7929-7936. (SCI-643ZJ, EI-20104213294206, SCI Times Cited 15)

[48] Wang L, Huang FZ. Parameter analysis based on stochastic model for differential evolution algorithm. Applied Mathematics and Computation, 2010, 217(7): 3263-3273. (SCI-670QM, EI-20104413343023, SCI Times Cited 6)

[49] Wang L, Li LP. An effective differential evolution with level comparison for constrained engineering design. Structural and Multidisciplinary Optimization, 2010, 41(6): 947-963. (SCI-584SH, EI-20102212976552, SCI Times Cited 9)

[50] Liu B, Wang L, Liu Y, Qian B, Jin YH. An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes. Computers & Chemical Engineering, 2010, 34(4): 518-528. (SCI-580DK, EI-20101012749537, SCI Times Cited 9, CACE Most Cited Articles 2010-2012 Awarded by Elsevier)

[51] Wang L, Li LP. An effective hybrid quantum-inspired evolutionary algorithm for parameter estimation of chaotic systems. Expert Systems with Applications, 2010, 37(2): 1279-1285. (SCI-528GZ, EI-20095112558418, SCI Times Cited 5)

[52] Wang L, Pan QK, Suganthan PN, Wang WH, Wang YM. A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. Computers & Operations Research, 2010, 37(3): 509-520. (SCI-514BU, EI-20093912346643, SCI Times Cited 28, COR Most Cited Articles 2008-2012 Awarded by Elsevier)

 

Ø  2009

[53] Qian B, Wang L, Hu R, Huang DX, Wang X. A DE-based approach to no-wait flow-shop scheduling. Computers & Industrial Engineering, 2009, 57(3): 787-805. (SCI-548CU, EI-20093712299943, SCI Times Cited 15)

[54] Peng B, Liu B, Zhang FY, Wang L. Differential evolution algorithm-based parameter estimation for chaotic systems. Chaos, Solitons and Fractals, 2009, 39(5): 2110-2118. (SCI-443DZ, EI-20091612035798, SCI Times Cited 21)

[55] Qian B, Wang L, Huang DX, Wang X. Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution. Soft Computing, 2009, 13(8-9): 847-869. (SCI-416BI, EI-20091311980732, SCI Times Cited 4)

[56] Pan QK, Wang L, Qian B. A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems. Computers & Operations Research, 2009, 36(8): 2498-2511. (SCI-411EG, EI-090511884603, SCI Times Cited 24)

[57] Qian B, Wang L, Huang DX, Wang X. An effective hybrid DE-based algorithm for flow shop scheduling with limited buffers. International Journal of Production Research, 2009, 47(1): 1-24. (SCI-372OC, EI-084811740642, SCI Times Cited 13)

[58] Qian B, Wang L, Huang DX, Wang WL, Wang X. An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers. Computers & Operations Research, 2009, 36(1): 209-233. (SCI-362NL, EI-082411317635, SCI Times Cited 30)

 

Ø  2008

[59] Li BB, Wang L, Liu B. An effective PSO-based hybrid algorithm for multi-objective permutation flow shop scheduling. IEEE Transactions on Systems, Man and Cybernetics-Part A: Systems and Humans, 2008, 38(4): 818-831. (Regular paper) (SCI-317KX, EI-082811372109, SCI Times Cited 17)

[60] Pan QK, Wang L. No-idle permutation flow shop scheduling based on a hybrid discrete particle swarm optimization algorithm. International Journal of Advanced Manufacturing Technology, 2008, 39(7-8): 796-807. (SCI-359BP, EI-084911757568, SCI Times Cited 11)

[61] Pan QK, Wang L, Zhao BH. An improved iterated greedy algorithm for the no-wait flow shop scheduling with makespan criterion. International Journal of Advanced Manufacturing Technology, 2008, 38(7-8): 778-786. (SCI-338ZJ, EI-083411477796, SCI Times Cited 14)

[62] Qian B, Wang L, Hu R, Wang WL, Huang DX, Wang X. A hybrid differential evolution for permutation flow-shop scheduling. International Journal of Advanced Manufacturing Technology, 2008, 38(7-8): 757-777. (SCI-338ZJ, EI-083411477795, SCI Times Cited 17)

[63] Pan QK, Wang L, Tasgetiren MF, Zhao BH. A hybrid discrete particle swarm optimization algorithm for the no-wait flow shop scheduling problem with makespan criterion. International Journal of Advanced Manufacturing Technology, 2008, 38(3-4): 337-347. (SCI-335UQ, EI-083411469080, SCI Times Cited 12)

[64] Pan QK, Wang L, Qian B. A novel multi-objective particle swarm optimization algorithm for no-wait flow shop scheduling problems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2008, 222(4): 519-539. (SCI-316MU, EI-082711351016, SCI Times Cited 2)

[65] Liu B, Wang L, Jin YH. An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers. Computers & Operations Research, 2008, 35(9): 2791-2806. (SCI-271PO, EI-080611085891, SCI Times Cited 37, COR Most Cited Articles 2008-2012 Awarded by Elsevier)

[66] Pan QK, Wang L. A novel differential evolution algorithm for the no-idle permutation flow shop scheduling problems. European Journal of Industrial Engineering, 2008, 2(3): 279-297. (SCI-446MN, EI-081511199136, SCI Times Cited 15)

[67] Qian B, Wang L, Huang DX, Wang X. Scheduling multi-objective job shops using a memetic algorithm based on differential evolution. International Journal of Advanced Manufacturing Technology, 2008, 35(9-10): 1014-1027. (SCI-252TY, EI-080511064635, SCI Times Cited 21)

[68] Pan H, Wang L, Liu B. Chaotic annealing with hypothesis test for function optimization in noisy environment. Chaos, Solitons and Fractals, 2008, 35(5): 888-894. (SCI-236ID, EI-074210873572, SCI Times Cited 11)

 

Ø  2007

[69] Li BB, Wang L. A hybrid quantum-inspired genetic algorithm for multi-objective flow shop scheduling. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 2007, 37(3): 576-591. (Regular paper). (SCI-170DJ, EI-072210618572, SCI Times Cited 40)

[70] Liu B, Wang L, Jin YH. An effective PSO-based memetic algorithm for flow shop scheduling. IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, 2007, 37(1): 18-27. (Regular paper). (SCI-135CN, EI-071110477409, SCI Times Cited 70, ESI Highly Cited Article)

[71] He Q, Wang L, Liu B. Parameter estimation for chaotic systems by particle swarm optimization. Chaos, Solitons and Fractals, 2007, 34(2): 654-661. (SCI-175OE, EI-071610552661, SCI Times Cited 39)

[72] Liu B, Wang L, Jin YH, Huang DX, Tang F. Control and synchronization of chaotic systems by differential evolution algorithm. Chaos, Solitons and Fractals, 2007, 34(2): 412-419. (SCI-175OE, EI-071610552631, SCI Times Cited 17)

[73] Li LL, Zhou DH, Wang L. Fault diagnosis of nonlinear systems based on hybrid PSOSA optimization algorithm. International Journal of Automation and Computing, 2007, 4(2): 183-188. (EI-073110728194)

[74] He Q, Wang L. A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization. Applied Mathematics and Computation, 2007, 186(2): 1407-1422. (SCI-163MK, EI-071410523957, SCI Times Cited 57, ESI Highly Cited Article)

[75] Huang FZ, Wang L, He Q. An effective co-evolutionary differential evolution for constrained optimization. Applied Mathematics and Computation, 2007, 186(1): 340-356. (SCI-161FD, EI-071210505763, SCI Times Cited 50, ESI Highly Cited Article)

[76] Liu B, Wang L, Jin YH. An effective hybrid particle swarm optimization for no-wait flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2007, 31(9-10): 1001-1011. (SCI-138AQ, EI-070310376551, SCI Times Cited 39)

[77] He Q, Wang L. An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Engineering Applications of Artificial Intelligence, 2007, 20(1): 89-99. (SCI-128GV, EI-064510229471, SCI Times Cited 94, ESI Highly Cited Article, EAAI Top Cited Article 2005-2010 Awarded by Elsevier)

 

Ø  2006

[78] Wang L, Zhang L, Zheng DZ. An effective hybrid genetic algorithm for flow shop scheduling with limited buffers. Computers & Operations Research, 2006, 33(10): 2960-2971. (SCI-031EL, EI-06079696641, SCI Times Cited 46)

[79] Pan H, Wang L, Liu B. Particle swarm optimization for function optimization in noisy environment. Applied Mathematics and Computation, 2006, 181(2): 908-919. (SCI-110NK, EI-064410216773, SCI Times Cited 19)

[80] Li LL, Wang L, Liu LH. An effective hybrid PSOSA strategy for optimization and its application to parameter estimation. Applied Mathematics and Computation, 2006, 179(1): 135-146. (SCI-088LZ, EI-063410080518, SCI Times Cited 18)

[81] Wang L, Zhang L Stochastic optimization using simulated annealing with hypothesis test. Applied Mathematics and Computation, 2006, 174(2): 1329-1342. (SCI-027HY, EI-06109743893, SCI Times Cited 5)

[82] Liu B, Wang L, Jin YH, Tang F, Huang DX. Directing orbits of chaotic systems by particle swarm optimization. Chaos, Solitons and Fractals, 2006, 29(2): 454-461. (SCI-028JV, EI-06059677656, SCI Times Cited 19)

[83] Wang L, Zhang L. Determining optimal combination of genetic operators for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2006, 30(3-4): 302-308. (SCI-068RV, EI-063210059005, SCI Times Cited 3)

[84] Zhang L, Wang L, Zheng DZ. An adaptive genetic algorithm with multiple operators for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2006, 27(5-6): 580-587. (SCI-990EJ, EI-05509542884, SCI Times Cited 5)

 

Ø  2005

[85] Wang L, Tang F, Wu H. Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation. Applied Mathematics and Computation, 2005, 171(2): 1141-1156. (SCI-015GM, EI-06059668761, SCI Times Cited 26)

[86] Wang L. A hybrid genetic algorithm-neural network strategy for simulation optimization. Applied Mathematics and Computation, 2005, 170(2): 1329-1343. (SCI-980YQ, EI-05449448565, SCI Times Cited 23)

[87] Wang L, Li LL, Tang F. Optimal reduction of models using a hybrid searching strategy. Applied Mathematics and Computation, 2005, 168(2): 1357-1369. (SCI-976UW, EI-05419411614, SCI Times Cited 4)

[88] Tang F, Wang L. An adaptive active control for the modified Chua’s circuit. Physics Letters A, 2005, 346(5-60: 342-346. (SCI-979HD, SCI Times Cited 24)

[89] Liu B, Wang L, Jin YH, Tang F, Huang DX. Improved particle swarm optimization combined with chaos. Chaos, Solitons and Fractals, 2005, 25(5): 1261-1271 (SCI-929NL, EI-05219111132, SCI Times Cited 171, ESI Highly Cited Article)

[90] Wang L, Zhang L, Zheng DZ. Genetic ordinal optimisation for stochastic flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2005, 27(1-2): 166-173. (SCI-986QH, EI-05489516760, SCI Times Cited 3)

[91] Wang L, Zhang L, Zheng DZ. A class of hypothesis-test based genetic algorithm for flow shop scheduling with stochastic processing time. International Journal of Advanced Manufacturing Technology, 2005, 25(11-12): 1157-1163. (SCI-928MA, EI-05229127233, SCI Times Cited 13)

 

Ø  2004

[92] Wang L, Zhang L, Zheng DZ. The ordinal optimisation of genetic control parameters for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2004, 23(11-12): 812-819. (SCI-829DZ, EI-04308280893, SCI Times Cited 2)

[93] Wang L, Li LL, Tang F. Directing orbits of chaotic systems using a hybrid optimization strategy. Physics Letters A, 2004, 324(1): 22-25. (SCI-808CX, SCI Times Cited 10)

 

Ø  2003

[94] Wang L, Zhang L, Zheng DZ. A class of order-based genetic algorithm for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2003, 22(11-12): 828-835. (SCI-752CH, EI-04037817728, SCI Times Cited 17)

[95] Wang L, Zheng DZ. A modified evolutionary programming for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2003, 22(7-8): 522-527. (SCI-741NA, EI-03507780860, SCI Times Cited 13)

[96] Wang L, Zheng DZ. An effective hybrid heuristic for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2003, 21(1): 38-44. (SCI-653WV, EI-03087368196, SCI Times Cited 76)

[97] Jiang YH, Wang L, Jin YH. Bottleneck analysis for network flow model. Advances in Engineering Software, 2003, 34(10): 641-651. (SCI-727WR, EI-03417667435, SCI Times Cited 1)

 

Ø  2002

[98] Wang L, Zheng DZ. Finite-time performance analysis for genetic algorithm. Progress in Natural Science, 2002, 12(12): 940-944. (SCI-620AV, EI-03047337279)

[99] Wang L, Zheng DZ. A modified genetic algorithm for job shop scheduling. International Journal of Advanced Manufacturing Technology, 2002, 20(1): 72-76. (SCI-587DX, EI-02357058287, SCI Times Cited 22)

[100]           Zhou T, Wang L, Sun ZS. Closed-loop model set validation under a stochastic framework. Automatica, 2002, 38(9): 1449-1461. (SCI-586AC, EI-02307032983, SCI Times Cited 6)

 

Ø  2001

[101]           Wang L, Zheng DZ. An effective hybrid optimization strategy for job-shop scheduling problems. Computers & Operations Research, 2001, 28(6): 585-596. (SCI-413MP, EI-01015497525, SCI Times Cited 91)

 

 

INTERNATIONAL CONFERENCE PAPER:

Ø  2013

[1]       Zhang P, Wang L. An improved fruit fly optimization algorithm for solving lot-streaming flow-shop scheduling problem. The 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Shanghai, IWACIII 2013. (Best Paper Award, Best Presentation Award).

[2]       Wang SY, Wang L, Liu M, Xu Y. An estimation of distribution algorithm for the multi-objective flexible job-shop scheduling problem. 2013 IEEE Symposium on Computational Intelligence in Scheduling, Singapore, CISched’2013, 1-8. (EI-20134516943617)

[3]       Xu Y, Wang L, Wang SY. An effective shuffled frog-leaping algorithm for the flexible job-shop scheduling problem. 2013 IEEE Symposium on Computational Intelligence in Control and Automation, Singapore, CICA’2013, 120-126. (EI-20134416907788)

 

Ø  2012

[4]       Wang SY, Wang L, Xu Y. A compact estimation of distribution algorithm for solving hybrid flow-shop scheduling problem. The 10th World Congress on Intelligent Control and Automation, Beijing, WCICA’2012, 649-653. (EI-20130415919100)

[5]       Xu Y, Wang L, Wang SY. A hybrid algorithm based on simplex search and differential evolution for hybrid flow-shop scheduling. The 10th World Congress on Intelligent Control and Automation, Beijing, WCICA’2012, 643-648. (EI-20130415919099)

 

²  2011

[6]       Wang L, Xu Y, Fang C. A hybrid algorithm based on simplex search and differential evolution for resource-constrained project scheduling problem. The 2011 International Conference on Intelligent Computing, Zhengzhou, ICIC’2011. Lecture Notes in Computer Science, 2011, 6838: 568-575. (EI-20120914805584, ISTP-BBL87)

[7]       Xu Y, Wang L, Zhou G, Wang SY. An effective shuffled frog leaping algorithm for solving hybrid flow-shop scheduling problem. The 2011 International Conference on Intelligent Computing, Zhengzhou, ICIC’2011. Lecture Notes in Computer Science, 2011, 6838: 560-567. (EI-20120914805583, ISTP-BBL87)

[8]       Zhou G, Wang L, Xu Y, Wang SY. An effective artificial bee colony algorithm for multi-objective flexible job-shop scheduling problem. The 2011 International Conference on Intelligent Computing, Zhengzhou, ICIC’2011. Lecture Notes in Artificial Intelligence, 2011, 6839: 1-8. (EI-20120314683799, ISTP-BBD21, SCI Times Cited 1)

[9]       Wang SY, Wang L, Zhou G, Xu Y. An estimation of distribution algorithm for the flexible job-shop scheduling problem. The 2011 International Conference on Intelligent Computing, Zhengzhou, ICIC’2011. Lecture Notes in Artificial Intelligence, 2011, 6839: 9-16. (EI-20120314683810, ISTP-BBD21, Best Paper Award)

[10]   Tasgetiren MF, Pan QK, Wang L, Chen AHL. A DE based variable iterated greedy algorithm for the no-idle permutation flowshop scheduling problem with total flowtime criterion. The 2011 International Conference on Intelligent Computing, Zhengzhou, ICIC’2011. Lecture Notes in Artificial Intelligence, 2011, 6839: 83-90. (EI-20120314683801, ISTP-BBD21)

 

Ø  2010

[11]   Huang XL, Jia PF, Liu B, Wang L. Control of Hénon chaotic systems by chaotic particle swarm optimization. The 9th IEEE International Conference on Cognitive Informatics, Beijing, ICCI’2010, 117-121. (EI-20105013469236)

[12]   Huang XL, Jia PF, Liu B, Wang L. Chaotic particle swarm optimization for synchronization of finite dimensional Hénon dynamical system. The 6th International Conference on Natural Computation, Jinan, ICNC’2010, v 5, 2600-2604. (EI-20104613375432)

 

Ø  2009

[13]    Li LP, Wang L, Xu Y. Differential evolution with level comparison for constrained optimization. The 2009 International Conference on Intelligent Computing, Ulsan, ICIC’2009. Lecture Notes in Artificial Intelligence, 2009, 5755: 351-360. (EI-20094612450581, ISTP-BLM65, SCI Times Cited 2)

[14]    Xu Y, Wang L, Li LP. An effective hybrid algorithm based on simplex search and differential evolution for global optimization. The 2009 International Conference on Intelligent Computing, Ulsan, ICIC’2009. Lecture Notes in Artificial Intelligence, 2009, 5755: 341-350. (EI-20094512418317, ISTP-BLM65, SCI Times Cited 2)

[15]    Li LP, Wang L. A DE-based memetic algorithm for re-entrant permutation flowshop scheduling problems. The 20th International Conference on Production Research, IFPR, Shanghai, ICPR’2009.

[16]    Li LP, Wang L. Hybrid algorithms based on harmony search and differential evolution for global optimization. The 2009 World Summit on Genetic and Evolutionary Computation, ACM/SIGEVO, Shanghai, GEC’2009, 271-278. (EI-20093012219499, ISTP-BRC96, SCI Times Cited 4)

 

Ø  2008

[17]   Liu B, Wang L, Qian B, Jin YH. Hybrid particle swarm optimization for stochastic flow shop scheduling with no-wait constraint. The 17th IFAC World Congress, Seoul, 2008, 15855-15860. (EI-20094012355265)

[18]   Huang FZ, Wang L. A hybrid differential evolution with double populations for constrained optimization. IEEE Congress on Evolutionary Computation, Hongkong, CEC’2008, 18-25. (EI-084611709657, ISTP-BIW46, SCI Times Cited 3)

[19]   He Q, Wang L, Huang FZ. Nonlinear constrained optimization by enhanced co-evolutionary PSO. IEEE Congress on Evolutionary Computation, Hongkong, CEC’2008, 83-89. (EI-084611709666, ISTP-BIW46, SCI Times Cited 1)

[20]   Hu R, Wang L, Qian B, Huang FZ. Differential evolution method for stochastic flow shop scheduling with limited buffers. IEEE Congress on Evolutionary Computation, Hongkong, CEC’2008, 1295-1301. (EI-084611709838, ISTP-BIW46)

 

Ø  2007

[21]   Liu B, Wang L, Jin YH, Huang DX. Designing neural networks using PSO-based memetic algorithm. International Symposium on Neural Networks, Nanjing, ISNN’2007. Lecture Notes in Computer Science, 2007, 4493: 219-224. (EI-080311036869, ISTP-BGH87, SCI Times Cited 4)

[22]   Liu Y, Liu B, Huang JK, Wu YH, Wang L, Jin YH. An intelligent differential evolution algorithm for designing trading-ratio system of water market. International Symposium on Neural Networks, Nanjing, ISNN’2007. Lecture Notes in Computer Science, 2007, 4493: 1058-1066. (EI-080311036970, ISTP-BGH87)

 

Ø  2006

[23]   Liu B, Wang L, Jin YH, Huang DX. An effective PSO-based memetic algorithm for TSP. International Conference on Intelligent Computing, Kunming, ICIC’2006. Lecture Notes in Control and Information Sciences, 2006, 345: 1151-1156. (SCI-BEZ63, ISTP-BEZ63, SCI Times Cited 2)

[24]   Qian B, Wang L, Huang DX, Wang X. Multi-objective flow shop scheduling using differential evolution. International Conference on Intelligent Computing, Kunming, ICIC’2006. Lecture Notes in Control and Information Sciences, 2006, 345: 1125-1136. (SCI-BEZ63, ISTP-BEZ63, SCI Times Cited 3)

[25]   Huang FZ, Wang L, Liu B. Improved differential evolution with dynamic population size. International Conference on Intelligent Computing, Kunming, ICIC’2006. Lecture Notes in Computer Science, 2006, 4113: 725-730. (EI-064210172676, ISTP-BPE89)

[26]   Li BB, Wang L. A hybrid quantum-inspired genetic algorithm for multi-objective scheduling. International Conference on Intelligent Computing, Kunming, ICIC’2006. Lecture Notes in Computer Science, 2006, 4113: 511-522. (EI-064210172653, ISTP-BPE89, SCI Times Cited 4)

[27]   Pan H, Wang L. Blending scheduling under uncertainty based on particle swarm optimization with hypothesis test. International Conference on Intelligent Computing, Kunming, ICIC’2006. Lecture Notes in Bioinformatics, 2006, 4115: 109-120. (SCI-BEY16, ISTP-BEY16, EI-064210172349, SCI Times Cited 1)

[28]   Wang L, Liu LH, Liu B, Pan QK. An effective hybrid particle swarm optimization for designing IIR filters. International Conference on Informatics and Control Technologies, Shenzhen, ICT’2006, 181-186. (Paper Merit)

[29]   Liu Y, Huang JK, Wu YH, Liu B, Wang L, Jin YH. An intelligent particle swarm optimization for designing trading-ratio system of water market. International Conference on Sensing, Computing and Automation, Chengdu, ICSCA’2006. Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms, 2006, 13E: 1757-1761. (ISTP-201OS)

 

Ø  2005

[30]   Liu B, Wang L, Jin YH. Hybrid particle swarm optimization for flow shop scheduling with stochastic processing time. International Conference on Computational Intelligence and Security, Xi’an, CIS’2005. Lecture Notes in Artificial Intelligence, 2005, 3801: 630-637. (SCI-BDQ19, ISTP-BDQ19, SCI Times Cited 11)

[31]   Wang L, Wu H, Zheng DZ. A quantum-inspired genetic algorithm for scheduling problems. International Conference on Natural Computation, Changsha, ICNC’2005. Lecture Notes in Computer Science, 2005, 3612: 417-423. (SCI-BDA32, EI-05439427037, ISTP-BDA32, SCI Times Cited 3)

[32]   Wang L, Wu H, Tang F, Zheng DZ. A hybrid quantum-inspired genetic algorithm for flow shop scheduling. International Conference on Intelligent Computing, Hefei, ICIC’2005. Lecture Notes in Computer Science, 2005, 3645: 636-644. (SCI-BDC10, EI-05449443744, ISTP-BDC10, SCI Times Cited 11)

[33]   Liu B, Wang L, Jin YH, Huang DX. Designing neural networks using hybrid particle swarm optimization. International Symposium on Neural Networks, Chongqing, ISNN'2005. Lecture Notes in Computer Science, 2005, 3496: 391-397. (SCI-BCN38, EI-05399382245, ISTP-BCN38, SCI Times Cited 11)

 

Ø  2004

[34]   Wang L, Tang F. NN-based GA for engineering optimization. International Symposium on Neural Networks, Dalian, ISNN'2004. Lecture Notes in Computer Science, 2004, 3173: 448-453. (SCI-BAT64, ISTP-BAT64)

[35]   Zhang L, Wang L. Genetic ordinal optimization for stochastic traveling salesman problem. The 5th World Congress on Intelligent Control and Robotics, Hangzhou, WCICA’2004. 2086-2090. (EI-04388368171)

[36]   Wang L, Zheng DZ, Huang DX. Hybrid strategy for parameter estimation and PID tuning. The 7th International Symposium on Advanced Control of Chemical Processes, Hongkong, ADCHEM’2003. 1011-1016.

 

Ø  2003

[37]   Zhang L, Wang L. Optimal parameters selection for simulated annealing with limited computational effort. IEEE International Conference on Neural Networks & Signal Processing, Nanjing, ICNNSP'2003. 412-415. (ISTP-BY77R, SCI Times Cited 1)

[38]   Li LL, Tang F, Wang L. Directing orbits of chaotic dynamical systems based on simplex-annealing strategy. IEEE International Conference on Neural Networks & Signal Processing, Nanjing, ICNNSP'2003. 748-750. (ISTP-BY77R)

[39]   Zhang L, Wang L, Tang F. Hypothesis-test based simulated annealing for stochastic flow shop scheduling. The Second International Conference on Machine Learning and Cybernetics, Xi'an, ICMLC’2003. 1607-1612. (EI-04128072128, ISTP-BY61C)

 

Ø  2002

[40]   Zhang L, Wang L, Tang F. Order-based genetic algorithm for flow shop scheduling. The First International Conference on Machine Learning and Cybernetics, Beijing, ICMLC’2002. 139-144. (Outstanding Paper Award, ISTP-BW27J, EI-03127405529, SCI Times Cited 1)

[41]   Yang C, Ye H, Wang JC, Wang L. An artificial life and genetic algorithm based on optimization approach with new selecting methods. The First International Conference on Machine Learning and Cybernetics, Beijing, ICMLC’2002. 684-688. (ISTP-BW27J, EI-03127405646)

[42]   Wang L, Zheng DZ, Tang F. An improved evolutionary programming for optimization. The 4th World Congress on Intelligent Control and Robotics, Shanghai, WCICA’2002. Volume 3, 1769-1773. (ISTP-BV45G, EI-03047336817, SCI Times Cited 8)

 

Ø  2001

[43]   Wang L, Li WF, Zheng DZ. Design higher-order digital differentiator with simulated annealing. The 5th International Conference on Electronic Measurement & Instruments, Guilin, ICEMI’2001. 883-886. (ISTP-BU70Y)

[44]   Wang L, Li WF, Zheng DZ. A class of hybrid strategy for adaptive IIR filter design. The 8th International Conference on Neural Information Processing, Shanghai, ICONIP’2001. 85-89. (ISTP-BU46F)

 

Ø  2000

[45]    Wang L, Zheng DZ. Global derivative-free training for feed-forward neural networks. The 3rd Asian Control Conference, Shanghai, ASCC’2000. 1570-1575. (SCI Times Cited 2)

 

 

DOMESTIC JOURNAL PAPER:

Ø  2014

[1]     Zheng XL, Wang L, Wang SY. A hybrid discrete fruit fly optimization algorithm for solving permutation flow-shop scheduling problem. Control Theory and Applications. (in Chinese).

[2]     Wang L, Zheng HY, Zheng XL. Survey on resource-constrained project scheduling under uncertainty. Control and Decision, 2014, 29(4): 577-584. (in Chinese).

 

Ø  2013

[3]     Wang SY, Wang L, Xu Y. An estimation of distribution algorithm for solving hybrid flow-shop scheduling problem with identification parallel machine. Computer Integrated Manufacturing Systems, 2013, 19(6): 1304-1312. (in Chinese). (EI-20133016533956)

 

Ø  2012

[4]     Wang L, Zhou G, Xu Y, Wang SY. An artificial bee colony algorithm for solving hybrid flow-shop scheduling problem with unrelated parallel machines. Control Theory and Applications, 2012, 29(12): 1151-1157. (in Chinese). (EI-20131016087361)

[5]     Wang SY, Wang L, Fang C, Xu Y. Advances in estimation of distribution algorithms. Control and Decision, 2012, 27(7): 961-966,974. (in Chinese). (EI-20123515381325)

[6]     Wang SY, Wang L, Xu Y, Zhou G. An estimation of distribution algorithm for solving hybrid flow-shop scheduling problem. ACTA Automatica Sinica. (in Chinese), 2012, 38(3): 437-443. (EI-20122315093248)

 

Ø  2011

[7]     Wang L, Wang SY, Fang C. A hybrid estimation of distribution algorithm for solving multidimensional knapsack problem. Control and Decision, 2011, 26(8): 1121-1125. (in Chinese). (EI-20113714332583)

[8]     Wang L, Zhou G, Xu Y, Jin YH. Advances in the study on hybrid flow-shop scheduling. Control and Instruments in Chemical Industry, 2011, 38(1): 1-8. (in Chinese).

 

Ø  2010

[9]     Pan QK, Wang L, Gao L, Sang HY. A differential evolution algorithm based on blocks on critical path for job shop scheduling problems. Chinese Journal of Mechanical Engineering, 2010, 46(22): 182-188. (in Chinese). (EI-20105113512677)

[10] Fang C, Wang L. A survey of the study on resource-constrained project scheduling. Control and Decision, 2010, 25(5): 641-650,656. (in Chinese). (EI-20102513030536)

 

Ø  2009

[11] Pan QK, Wang L, Gao L. The-state-of-art of discrete particle swarm optimization algorithms. Control and Decision, 2009, 24(10): 1441-1449. (in Chinese). (EI-20094812504029)

[12] Wang L, Huang FZ, Li LP. Economic distribution of power systems based on hybrid differential evolution with double populations. Control and Decision, 2009, 24(8): 1156-1160,1166. (in Chinese). (EI-20093712302656)

[13] Qian B, Wang L, Huang DX, Jiang YH, Wang X. A rolling strategy and optimization algorithm for dynamic no-wait flow shop scheduling problem. Control and Decision, 2009, 24(4): 481-487. (in Chinese). (EI-20092012082873)

 

Ø  2008

[14] Wang L. Advances in quantum-inspired evolutionary algorithms. Control and Decision, 2008, 23(12): 1321-1326. (in Chinese). (EI-090111830321)

[15] Pan QK, Wang L, Zhao BH. Discrete particle swarm optimization for no-idle flow shop problem. Control and Decision, 2008, 23(2): 191-194. (in Chinese). (EI-081311170208)

[16] Wang L, He Q, Jin YH. Advances in intelligent constraint handling techniques. Control and Instruments in Chemical Industry, 2008, 35(1): 1-7. (in Chinese).

 

Ø  2007

[17] Liu B, Wang L, Jin YH. Advances in differential evolution. Control and Decision, 2007, 22(7): 721-729. (in Chinese). (EI-073210754583, SCI Times Cited 2)

 

Ø  2006

[18] Pan H, Wang L, Liu B, Jin YH. An effective method for parameter estimation and model reduction in noisy environments. Control and Instruments in Chemical Industry, 2006, 33(5): 13-17. (in Chinese). (EI-065110317733)

[19] Liu LH, Wang L, Liu B, Jin YH. Study on function optimization and model reduction based on a class of hybrid PSO algorithm. Control and Instruments in Chemical Industry, 2006, 33(2): 9-12. (in Chinese). (EI-06229913045)

 

Ø  2005

[20] Liu B, Wang L, Jin YH, Huang DX. Advances in particle swarm optimization algorithm. Control and Instruments in Chemical Industry, 2005, 32(3): 1-7. (in Chinese). (EI-05279198140, SCI Times Cited 12)

[21] Wang L, Zhang L. Genetic algorithm with multiple searching modes for flow-shop scheduling with limited buffers. Computer Integrated Manufacturing SystemsCIMS, 2005, 11(7): 1041-1046. (in Chinese). (EI-05359331186)

[22] Wang L, Li BB, Zheng DZ. A fast genetic algorithm for model reduction and parameter estimation. Control and Decision, 2005, 20(4): 426-429,433. (in Chinese). (EI-05229136659)

[23] Wang L, Wu H, Tang F, Zheng DZ, Jin YH. Hybrid quantum genetic algorithms and performance analysis. Control and Decision, 2005, 20(2): 156-160. (in Chinese). (EI-05149025694)

 

Ø  2004

[24] Zhang L, Wang L, Zheng DZ. Hypothesis-test based genetic algorithm for stochastic optimization problems. Control Theory and Applications, 2004, 21(6): 885-889. (in English). (EI-05108875003, SCI Times Cited 1)

[25] Li BB Wang L, Zheng DZ. Genetic algorithm with interpolation based evaluation and its application for parameter estimation. Control and Instruments in Chemical Industry, 2004, 31(6): 14-17. (in Chinese). (EI-05279198084)

[26] Wang L, Huang X, Zheng DZ. A class of improved genetic algorithm with sifting strategy and performance analysis. Control and Decision, 2004, 19(11): 1290-1293, 1297. (in Chinese). (EI-05048803655)

[27] Li LL, Wang L, Zheng DZ. Optimal reduction of models based on a class of SMSA strategy. Control and Decision, 2004, 19(8): 947-950, 953. (in Chinese). (EI-04468459062)

[28] Wang L, Tong HH, Zheng DZ. Reference point based near insertion approach and two-stage approach for TSP. Control and Decision, 2004, 19(7): 831-833, 837. (in Chinese). (EI-04438424613)

[29] Wang L, Ji LJ, Zheng DZ. Simulation optimization based on surrogate model and genetic algorithm. Control and Decision, 2004, 19(6): 626-630. (in Chinese). (EI-04378354978)

[30] Wang L, Zheng DZ. A class of simulated annealing approach based on hypothesis test for stochastic optimization problems. Control and Decision, 2004, 19(2): 183-186. (in Chinese). (EI-04248214379, SCI Times Cited 1)

[31] Zhang L, Wang L, Zheng DZ. Parameter ordinal optimization for simulated annealing with limited computational efforts. Control and Decision, 2004, 19(2): 226-229. (in Chinese).

 

Ø  2003

[32] Wang L, Li LL, Zheng DZ. A class of effective search strategies for parameter estimation of nonlinear systems. ACTA Automatica Sinica, 2003, 29(6): 953-958. (in Chinese). (SCI Times Cited 3)

[33] Wang L, Li WF, Zheng DZ. Optimal design of controllers for non-minimum phase systems. ACTA Automatica Sinica, 2003, 29(1): 135-141. (in Chinese). (SCI Times Cited 2)

[34] Wang L, Zhang L, Tang F. On ordinal optimization of parameters and operators for genetic algorithm. Journal of Central South University of Technology, 2003, 34(4): 350-354. (in Chinese).

[35] Wang L, Zhang L, Zheng DZ. Advances in simulation optimization. Control and Decision, 2003, 18(3): 257-262, 271. (in Chinese). (SCI Times Cited 4)

[36] Wang L, Wang X. CIMS architecture and manufacturing execution system for process industry. Computers Engineering and Applications. 2003, 39(10): 16-18. (in Chinese)

[37] Li LL, Wang L. Chemical process optimization based on SMSA algorithm with multiple operators. Control and Instruments in Chemical Industry, 2003, 30(1): 25-28. (in Chinese). (EI-04328307443)

 

Ø  2002

[38] Wang L, Zhang L, Zheng DZ. A class of genetic ordinal optimization framework for stochastic simulation optimization. Control and Decision, 2002, 17(S): 699-702. (in Chinese). (EI-03087370158)

[39] Wang L, Zheng DZ. Study on unified framework of hybrid optimization strategies. Control and Decision, 2002, 17(1): 33-36, 40. (in Chinese). (EI-02397107558)

[40] Lan H, Wang X, Wang L. Improved genetic annealing algorithm for global optimization of complex functions. Journal of Tsinghua University, 2002, 42(9): 1237-1240. (in Chinese). (EI-03027313247, SCI Times Cited 1)

[41] Li LL, Wang L, Zheng DZ, Zhou DH. Simplex-annealing hybrid approach for model parameters estimation. Journal of Tsinghua University, 2002, 42(9): 1207-1208, 1213. (in Chinese). (EI-03027313239, SCI Times Cited 1)

[42] Guo YN, Wang L, Tan DJ, Hao R. Coal blending control based on mixed optimization of genetic algorithm and neural network. Journal of China University of Mining & Technology, 2002, 31(5): 404-406. (in Chinese). (EI-02457195019)

[43] Wang L, Li LL, Zheng DZ. Design adaptive IIR filters with a kind of simplex-annealing strategy. Systems Engineering and Electronics, 2002, 24(7): 99-102. (in Chinese)

[44] Wang L, Zheng DZ. An improved genetic algorithm to solve permutation scheduling problem. Systems EngineeringTheory and Practice, 2002, 22(6): 74-79. (in Chinese). (EI-02417136470)

[45] Wang L, Tang F. Study on PID tuning based on genetic annealing strategy. Control and Instruments in Chemical Industry, 2002, 29(3): 21-24. (in Chinese)

[46] Tong HH, Wang L, He JR. Reference point-based near insertion approach and its improvement for traveling salesman problem. Computers Engineering and Applications, 2002, 38(20): 63-65. (in Chinese)

[47] Wang L, Wang X. Some key factors to design CIMS for process industry. Computers Engineering and Applications, 2002, 38(10): 50-52,108. (in Chinese)

[48] Wang L, Zheng DZ. A class of simulated annealing for multi-objective optimization. Computers Engineering and Applications, 2002, 38(8): 4-5, 55. (in Chinese). (SCI Times Cited 1)

[49] Tang F, Wang L. From local minimum to global optimum. Computers Engineering and Applications, 2002, 38(6): 56-58. (in Chinese)

[50] Wang L, Zhang L, Zheng DZ. Generalized TSP-type traffic model and optimization. Computers Engineering and Applications, 2002, 38(2): 15-16, 42. (in Chinese)

[51] Wang L, Zheng DZ. An improved evolutionary programming and its optimization performances analysis. Computers Engineering and Applications, 2002, 38(1): 8-10. (in Chinese)

[52] Wang L, Zheng DZ. Stability analysis for several classes of dynamical feedback neural networks. Computing Technology and Automation, 2002, 21(1): 1-6. (in Chinese)

 

Ø  2001

[53] Wang L, Zheng DZ. A kind of GASA hybrid optimization strategy. Control Theory and Applications, 2001, 18(4): 552-554. (in Chinese). (EI-01556802755)

[54] Wang L, Zheng DZ. Advances in job shop scheduling based on genetic algorithm. Control and Decision, 2001, 16(S): 641-646. (in Chinese). (EI-02246976076)

[55] Wang L, Li WF, Zheng DZ. Estimating model-parameter and tuning controller-parameter by a class of hybrid strategy. Control and Decision, 2001, 16(5): 530-534. (in Chinese). (EI-02236966472, SCI Times Cited 1)

[56] Wang L, Li WF, Zheng DZ. Simulated annealing for designing higher-order digital differentiator. Systems Engineering and Electronics, 2001, 23(12): 1-3. (in Chinese)

[57] Wang L, Li LL, Zheng DZ, Zhou DH. SMSA approach for online joint estimation of time delay and parameters in nonlinear time-varying systems. Control and Instruments in Chemical Industry, 2001, 28(6): 5-9. (in Chinese). (SCI Times Cited 1)

[58] Wang L, Wang X, Jin YH. MES---key element for the development of CIMS in process industry. Control and Instruments in Chemical Industry, 2001, 28(4): 1-5. (in Chinese)

[59] Wang L, Wang X, Jin YH, Xiao DY. CIMS reference architecture based on life-cycle and integrated platform for process industry. Control and Instruments in Chemical Industry, 2001, 28(1): 1-4,8. (in Chinese)

[60] Wang L, Yan M, Li QS, Zheng DZ. A class of effective hybrid optimization strategy for complex functions with high dimension. Journal of Tsinghua University, 2001, 41(9): 118-121. (in Chinese). (EI-02116885825, SCI Times Cited 3)

[61] Wang L, Zheng DZ. Optimization study on a class of flow shop scheduling with non-unique jobs. Computers Engineering and Application, 2001, 37(19): 76-78. (in Chinese)

[62] Lan H, Wang X, Wang L. Analysis of a classic genetic-annealing algorithm towards global optimization for complex functions. Journal of Systems Simulation, 2001, 13(S): 111-113. (in Chinese)

[63] Li QS, Wang L, Zheng DZ. Study on tuning controller for water turbine system. Basic Automation, 2001, 8(3): 10-12, 50. (in Chinese)

[64] Wang L, Li WF, Zheng DZ, Li QS. A Class of hybrid strategy to estimate model parameters. Basic Automation, 2001, 8(1): 5-7,38. (in Chinese)

[65] Wang L, Zheng DZ, Li QS. Survey on chaotic optimization methods. Computing Technology and Automation, 2001, 20(1): 1-5. (in Chinese). (SCI Times Cited 26)

 

Ø  2000

[66] Wang L, Zheng DZ. A kind of chaotic neural network optimization algorithm based on annealing strategy. Control Theory and Applications, 2000, 17(1): 139-142. (in Chinese). (EI-00095313837, SCI Times Cited 3)

[67] Wang L, Zheng DZ. Meta-heuristic algorithms: a review. Control and Decision, 2000, 15(3): 257-262. (in Chinese) (SCI Times Cited 1)

[68] Wang L, Zheng DZ. Training algorithm for FNN based on a class of nonlinear property. Control and Decision, 2000, 15(1): 19-22. (in Chinese). (EI-00095311003)

[69] Wang L, Wang X, Jin YH. Consider CIMS architecture for process industry. Automation Panorama, 2000, 17(S): 38-40, 50. (in Chinese)

[70] Wang L, Zheng DZ. Simulated annealing with the state generator based on Cauchy and Gaussian distributions. Journal of Tsinghua University, 2000, 40(9): 109-112. (in Chinese). (EI-01436700268, SCI Times Cited 3)

[71] Wang L, Zheng DZ. Unified framework for neighbor search algorithms and hybrid optimization strategies. Journal of Tsinghua University, 2000, 40(9): 125-128. (in Chinese). (EI-01436700272)

[72] Wang L, Wang X. Survey on optimal design of batch chemical process. Journal of Tsinghua University, 2000, 40(S2): 265-269. (in Chinese)

 

Ø  1999

[73] Wang L, Zheng DZ. Study on TSP and optimization based on Hopfield neural network. Control and Decision, 1999, 14(6): 669-674. (in Chinese). (EI-00095310999)

[74] Wang L, Zheng DZ. Hybrid optimization strategy for radial basis function neural network structure. Journal of Tsinghua University, 1999, 39(7): 50-53. (in Chinese). (EI-00045122367)

 

Ø  Before 1999

[75] Wang L, Zheng DZ. Study on a class of GASA hybrid strategy and its convergence behavior. Control and Decision, 1998, 13(6): 699-672. (in Chinese). (SCI Times Cited 1)

[76] Wang L, Zheng DZ. The comparative research on several sub-optimization methods to solve TSP problem. Control and Decision, 1998, 13(1): 79-83. (in Chinese)

[77] Wang L, Zheng DZ. Two hybrid learning strategies of feedforward network. Journal of Tsinghua University, 1998, 38(9): 95-97, 101. (in Chinese). (EI-99094800492)

[78] Zheng XZ, Wang L, Jin GF. Design binary optics elements for ICF uniform illumination with hybrid optimization method. Chinese Journal of Lasers A, 1998, 25(3): 265-269. (in Chinese). (EI-99084739370)

[79] Song TY, Wang L. Statistics and simulation of forest spatial data. Journal of Beijing Forestry University, 1997, 19(3): 74-78. (in Chinese)

[80] Wang L, Zheng DZ. The research on solving flowshop problem with simulated annealing algorithm. Journal of the Postgraduate of Tsinghua University, 1996, 26(1): 28-35. (in Chinese)

 

 

DOMESTIC CONFERENCE PAPER:

Ø  2013

[1]     Wang SY, Wang L, Xu Y. An estimation of distribution algorithm for solving hybrid flow-shop scheduling problem with stochastic processing time. The 32nd Chinese Control Conference. Xi'an, 2013, 2456-2461. (EI-20135217122347)

[2]     Zheng HY, Wang L, Wang SY, Fang C. Ordinal chemical reaction optimization for stochastic resource constrained project scheduling problem. The 32nd Chinese Control Conference. Xi'an, 2013, 2437-2442. (EI-20135217122344)

 

Ø  2010

[3]     Fang C, Wang L, Xu Y. An estimation of distribution algorithm for resource-constrained project scheduling problem. Chinese Control and Decision Conference, Xuzhou, 2010, 265-270. (Finalist for Zhang Si-Ying Outstanding Youth Paper Award, EI-20103213140314, ISTP-BUV61)

 

Ø  2005

[4]     Wang L, Wu H, Zheng DZ. Hybrid quantum genetic algorithm for model parameter estimation. Chinese Control and Decision Conference, Haerbin, 2005, 527-530. (ISTP-BFR69)

 

Ø  2004

[5]     Wang L, Zheng DZ. Integrated framework and key issues of simulation optimization. Chinese Control and Decision Conference, Huangshan, 2004, 799-802, 806. (Excellent paper of CDC'04, EI-04428413058, ISTP-BFR67)

[6]     Zhang L, Wang L. Zheng DZ. Hypothesis test based intelligent optimization algorithms and comparisons. Chinese Control and Decision Conference, Huangshan, 2004, 338-341. (Excellent paper of CDC'04, EI-04428413016, ISTP-BFR67)

 

Ø  2002

[7]     Wang L, Zhang L, Zheng DZ. Fundamental study on genetic ordinal optimization algorithm. Chinese Process Control Conference, Macon, 2002, 98-102.

 

Ø  2001

[8]     Wang L, Zheng DZ, Tang F. Chaosa kind of new optimization technique. Chinese Control Conference, Dalian, 2001, 185-189.

[9]     Li QS, Wang L. Optimal design of binary optical instrument based hybrid algorithm. Chinese Control and Decision Conference, Xi’an, 2001, 346-349.

[10] Li QS, Wang L. A kind of hybrid optimization algorithm for complex functions. Chinese Control and Decision Conference, Xi’an, 2001, 350-353.

 

Ø  Before 2001

[11] Wang L, Zheng DZ. Study on performance of simulated annealing based on different neighbor generators. Chinese Control Conference, Hongkong, 2000, 430-434.

[12] Wang L, Zheng DZ. Study on a class of variable-lot flow line scheduling problem. Chinese Control Conference, Ningbo, 1998, 491-494.

[13] Wang L, Zheng DZ. Two kinds of training strategies for feed-forward networks. Chinese Control Conference, Lushan, 1997, 1059-1062.

[14] Wang L, Zheng DZ. Study on simulated annealing for flow shop scheduling problems. Chinese Control and Decision Conference, Lushan, 1997, 390-394.

[15] Wang L, Zheng DZ. Comparative study on several sub-optimal solutions for TSP. Chinese Control Conference, Qingdao, 1996, 604-607.

 

 

l  ACADEMIC MEMBERSHIP AND REFEREE

[1]     Committee Member, Technique Committee of Process Control, Chinese Association of Automation

[2]     Executive member, Beijing Automation Association

[3]     Executive member, Scheduling Sub-Society of Operations Research Society of China

[4]     Adjunct Professor, Shandong University at Weihai

[5]     Adjunct Professor, Liaocheng University

[6]     Member, IEEE CIS (Computational Intelligence Society) ETTC (Emergent Technology Technical Committee)

[7]     Guest Editor, Journal of Intelligent Manufacturing (Springer)

[8]     Guest Editor, Neurocomputing (Elsevier)

[9]     Co-Editor-in-Chief, The Open Operational Research Journal (Bentham Science)

[10] Editor-in-Chief, Research Journal of Information Technology (Maxwell Scientific)

[11] Regional Editor, Research Journal of Applied Sciences, Engineering and Technology (Maxwell Scientific)

[12] Associate Editor, International Journal of Metaheuristics (InderScience)

[13] Editor, Journal of Optimization (Hindawi)

[14] Editorial Board Member, Memetic Computing Journal (Springer)

[15] Editorial Board Member, Swarm and Evolutionary Computation (Elsevier)

[16] Editorial Board Member, European Journal of Industrial Engineering (InderScience)

[17] Editorial Board Member, International Journal of Automation and Control (InderScience)

[18] Editorial Board Member: International Journal of Artificial Intelligence and Soft Computing (InderScience)

[19] Editorial Board Member, The Open Statistics & Probability Journal (Bentham Science)

[20] Editorial Board Member, ICTACT Journal on Soft Computing (ICT Academy of Tami Nadu)

[21]        Editor, International Journal of Soft Computing (Medwell Online)

[22]        Editor, International Journal of Electric and Power Engineering (Medwell Online)

[23]        Editor, Asian Journal of Information Technology (Medwell Online)

[24]        Editor, Journal of Engineering and Applied Sciences (Medwell Online)

[25] Reviewer, NSFC Project

[26] Reviewer, National 863 Project

[27] Reviewer, Natural Science Foundation of Beijing City

[28] Reviewer, Fok Ying Tung Education Foundation

[29] Reviewer, Natural Science Award by MOE of China

[30] Reviewer, Scientific Development Award by MOE of China

[31] Reviewer, IEEE Transaction on Automation Science and Engineering (IEEE)

[32] Reviewer, IEEE Computational Intelligence Magazine (IEEE)

[33] Reviewer, IEEE Transactions on Cybernetics (IEEE)

[34] Reviewer, IEEE Transaction on Evolutionary Computation (IEEE)

[35] Reviewer, IEEE Transaction on Neural Networks (IEEE)

[36] Reviewer, IEEE Transaction on Signal Processing (IEEE)

[37] Reviewer, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE)

[38] Reviewer, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews (IEEE)

[39] Reviewer, Applied Mathematical Modelling (Elsevier)

[40] Reviewer, Applied Mathematics and Computation (Elsevier)

[41] Reviewer, Applied Soft Computing (Elsevier)

[42] Reviewer, Computers & Industrial Engineering (Elsevier)

[43] Reviewer, Computers & Operations Research (Elsevier)

[44] Reviewer, Engineering Applications of Artificial Intelligence (Elsevier)

[45] Reviewer, European Journal of Operational Research (Elsevier)

[46] Reviewer, Expert Systems with Applications (Elsevier)

[47] Reviewer, Information Sciences (Elsevier)

[48] Reviewer, International Journal of Electrical Power and Energy Systems (Elsevier)

[49] Reviewer, International Journal of Production Economics (Elsevier)

[50] Reviewer, Journal of Computational and Applied Mathematics (Elsevier)

[51] Reviewer, Journal of Manufacturing Systems (Elsevier)

[52] Reviewer, Mathematics and Computers in Simulation (Elsevier)

[53] Reviewer, Neurocomputing (Elsevier)

[54] Reviewer, Simulation Modelling Practice and Theory (Elsevier)

[55] Reviewer, Discrete Event Dynamic Systems: Theory and Applications (Springer)

[56] Reviewer, International J of Advanced Manufacturing Technology (Springer)

[57] Reviewer, Journal of Computer Science & Technology (Springer)

[58] Reviewer, Journal of Global Optimization (Springer)

[59] Reviewer, Journal of Intelligent Manufacturing (Springer)

[60] Reviewer, Journal of Systems Science and Systems Engineering (Springer)

[61] Reviewer, Natural Computing (Springer)

[62] Reviewer, Neural Computing & Applications (Springer)

[63] Reviewer, Soft Computing (Springer)

[64] Reviewer, Structural and Multidisciplinary Optimization (Springer)

[65] Reviewer, Chemical Engineering Communications (Taylor & Francis)

[66] Reviewer, Connection Science (Taylor & Francis)

[67] Reviewer, Engineering Optimization (Taylor & Francis)

[68] Reviewer, International Journal of Production Research (Taylor & Francis)

[69] Reviewer, Computer Journal (Oxford)

[70] Reviewer, International Journal of Artificial Intelligence Tools (WorldSciNet)

[71] Reviewer, Journal of Computing in Civil Engineering (American Society of Civil Engineers)

[72] Reviewer, ETRI Journal (ETRI)

[73] Reviewer, Mathematical Problems in Engineering (Hindawi)

[74] Reviewer, International Journal of Operations Research (ORSTW)

[75] Reviewer, International Journal of Swarm Intelligence

[76] Reviewer, Asia Pacific Management Review (NCKU)

[77] Reviewer, Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture (Professional Engineering Publishing)

[78] Reviewer, Science in China A/E/F

[79] Reviewer, ACTA Automatica Sinica

[80] Reviewer, ACTA Electronica

[81] Reviewer, ACTA Physica Sinica

[82] Reviewer, Chinese Journal of Chemical Engineering (English Edition)

[83] Reviewer, Chinese Journal of Computers

[84] Reviewer, Chinese Journal of Electronics

[85] Reviewer, Chinese Physics B

[86] Reviewer, Chinese Physics Letter

[87] Reviewer, Chinese Science Bulletin

[88] Reviewer, Computer Integrated Manufacturing Systems

[89] Reviewer, Control and Decision

[90] Reviewer, Control Theory and Applications

[91] Reviewer, Information and Control

[92] Reviewer, Journal of Beijing Institute of Technology

[93] Reviewer, Journal of Beijing University of Aeronautics and Astronautics

[94] Reviewer, Journal of Beijing University of Information and Technology

[95] Reviewer, Journal of Beijing University of Posts and Telecommunications

[96] Reviewer, Journal of Beijing University of Science and Technology

[97] Reviewer, Journal of Central South University

[98] Reviewer, Journal of Chemical Industry and Engineering

[99] Reviewer, Journal of Control Theory and Applications

[100]           Reviewer, Journal of Dalian Institute of Technology

[101] Reviewer, Journal of Haerbin Industrial University

[102] Reviewer, Journal of North Jiaotong University

[103] Reviewer, Journal of Northeast University

[104] Reviewer, Journal of Qingdao University

[105] Reviewer, Journal of Shanghai Jiaotong University (Chinese and English Editions)

[106] Reviewer, Journal of Software

[107] Reviewer, Journal South China Institute of Technology

[108] Reviewer, Journal of Southwest Jiaotong University (English Edition)

[109] Reviewer, Journal of Tianjin University

[110] Reviewer, Journal of Tsinghua University

[111] Reviewer, Journal of University of Science and Technology of China

[112] Reviewer, Journal of Wuhan University

[113] Reviewer, Journal of Xi’an Jiaotong University

[114] Reviewer, Journal of Zhejiang University

[115] Reviewer, Systems Engineering: Theory and Practice

[116] Reviewer, Systems Engineering and Electronics (Chinese and English Editions)

[117] Publicity Co-Chair: 2014 International Conference on Intelligent Computing (ICIC 2014)

[118] Program Committee Member: 2014 International Conference on Intelligent Computing (ICIC 2014)

[119] Program Committee Member: 2014 International Conference on Operations Research and Enterprise Systems (ICORES 2014)

[120] Program Committee Member: 2014 International Conference on Neural Computation Theory and Applications (NCTA 2014)

[121] Program Committee Member: 2014 International Conference on Swarm Intelligence (ANTS 2014)

[122] Chair, 2013 IEEE Symposium on Computational Intelligence in Scheduling (IEEE-CISched 2013)

[123] Publicity Co-Chair: 2013 International Conference on Intelligent Computing (ICIC 2013)

[124] Program Committee Member: 2013 International Conference on Operations Research and Enterprise Systems (ICORES 2013)

[125] Program Committee Member: 2013 International Conference on Intelligent Computing (ICIC 2013)

[126] Program Committee Member: 2013 IEEE Symposium on Differential Evolution (SDE 2013)

[127] Program Committee Member: 2013 International Conference on Swarm Intelligence (ICSI 2013)

[128] Publicity Co-Chair: 2012 International Conference on Intelligent Computing (ICIC 2012)

[129] Program Committee Member: 2012 International Conference on Intelligent Computing (ICIC 2012)

[130] Program Committee Member: 2012 International Conference on Operations Research and Enterprise Systems (ICORES 2012)

[131] Program Committee Member: 2012 Conference on Genetic and Evolutionary Computing (ICGEC 2012)

[132] Program Committee Member: 2012 International Conference on Swarm Intelligence (ICSI 2012)

[133] Program Committee Member: 2011 IEEE Symposium on Differential Evolution (SDE 2011)

[134] Program Committee Member: 2011 International Conference on Swarm Intelligence (ICSI 2011)

[135] Program Committee Member: 2011 International Conference on Intelligent Computing (ICIC 2011)

[136] Program Committee Member: 2011 International Conference on Artificial Intelligence and Soft Computing (ICAISC 2011)

[137] Program Committee Member: 2011 International Conference on Evolutionary Multi-Criterion Optimization (EMO 2011)

[138] Program Committee Member: 2010 International Conference on Swarm Intelligence (ICSI 2010)

[139] Program Committee Member: 2010 International Conference on Intelligent Computing (ICIC 2010)

[140] Program Committee Member: 2010 International Workshop on Advanced Computational Intelligence (IWACI2010)

[141] Program Committee Member: 2010 Conference on Genetic and Evolutionary Computing (ICGEC 2010)

[142] Program Committee Member: 2009 International Conference on Intelligent Computing (ICIC 2009)

[143] Program Committee Member: 2009 World Summit on Genetic and Evolutionary Computation (GEC 2009)