Resume of Dr. Ling WANG (L. WANG)

AFFILIATIONProfessor, Dr. Ling WANG (王凌)Department of Automation, Tsinghua University, Beijing 100084, P. R. ChinaEmail: wangling@mail.tsinghua.edu.cnTel: 86-10-62783125-272, 62785845-272Fax: 86-10-62786911

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

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, neural networks, quantum computing, etc

[3] Simulation optimization, ordinal optimization

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] Literatures retrieving and paper writing. (for graduate students)

STUDENTPh.D. STUDENTLing-Lai LI (’2001)Yi-Nan GUO (’2001)Bo LIU (’2001)Bin QIAN (’2004)

Ye XU (’2009)

MS STUDENTLiang ZHANG (’2002) [Excellent Thesis Award]Hui PAN (’2003)Bin-Bin LI (’2004) [Excellent Thesis Award]Qie HE (’2005) [Excellent Thesis Award]Fu-Zhuo HUANG (’2006)Ling-PO LI (’2007)

ENGINEERING MS STUDENTYi LU (’2003)Yi-Xi SONG (’2008)

UNDERGRADUATE STUDENTWen-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)Fu-Zhuo HUANG, Yu ZHOU (’2006)Bin ZOU (’2008)Ye XU (’2009)

PROJECT[1] NSFC Project (70871065): Study on learning-based swarm intelligent scheduling theory and

algorithms. (250,000RMB, PI) (2009.1~2011.12)[2] 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)

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

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

[5] 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)

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

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

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

[9] New Star of Science and Technology of Beijing City (2004A41). (70,000RMB, PI)

(2004.7~2007.7)[10] 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)

[11] 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)

[12] 973 Sub-Project (G1998020310): Hybrid electrical systems. (Personal funding 20,000RMB, Investigator) (1998.12~2003.5)

[13] 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)

[14] 863 Project (2001AA411220): Overall plan and key technology for Chinese petrochemical automatic systems. (Personal funding 39,000RMB, Investigator) (2001.12~2002.11)

[15] 863 Project (863-511-930): Management mode and integration technology for process CIMS industries. (Personal funding 70,000RMB, Investigator) (2001.1~2001.12)

[16] 863 Project: CIMS for Dalian petrochemical company. (Personal funding 20,000RMB, Investigator) (1999.10~2000.3)

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

[18] 985 Project: Theory, methods and technologies of system integration for 21 century oriented process industries. (Personal funding 10,000RMB, Investigator) (2001~2002)

[19] Teaching and Paper Foundation. (90,000RMB, PI) (2002~2004)[20] International Cooperation Project: Effective simulation and optimization for service network.

(65,000RMB for me, Investigator) (2002.4~2004.4)[21] Company Cooperation Project: Development of HIS. (50,000RMB, Co-PI) (2001.5~2001.12)

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

China.[2] 2007’ Natural Science Award (2nd Place Prize) by MOE of China.[3] Outstanding Ph.D. Dissertation Award of Tsinghua University (1st Place Prize).[4] 2002’ Outstanding Paper Award of IEEE International Conference on Machine Learning and

Cybernetics, IEEE-ICMLC’02.[5] 2006’ Excellent Paper of IET International Conference on Informatics and Control

Technologies, IET-ICT’06.[6] 2004’ Excellent Paper of Chinese Control and Decision Conference, CDC'04.[7] 2004’ New Star of Science and Technology of Beijing City.[8] 2004’ Excellent Textbook of Tsinghua University (2nd Place Prize).[9] 2008’ Excellent Textbook of Tsinghua University (2nd Place Prize).[10] 2002’ Excellent Textbook in 11th Textbook Festival of Tsinghua University Press (1st Place

Prize).[11] The Academic Keys Who's Who in Engineering Higher Education (WWEHE)[12] 2004’ Excellent Class Advisor of Tsinghua University (1st Place Prize).[13] 2005’ Excellent Class Advisor of Tsinghua University (1st Place Prize).

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 2008-9-1, SCI Times Cited 451, Google Scholar Times Cited > 2000, CNKI Times Cited > 3500]BOOK:[1] 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

[2] Wang L, Liu B. Particle swarm optimization and scheduling algorithms. Beijing: Tsinghua University Press, 2008

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

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

[5] Wang L. Shop scheduling with genetic algorithms. Beijing: Tsinghua University & Springer Press, 2003. (SCI Times Cited 23, Google Scholar Times Cited > 200, CNKI Times Cited > 350)

[6] 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 42, Google Scholar Times Cited > 900, CNKI Times Cited > 1700)

INTERNATIONAL JOURNAL PAPER: Forthcoming[1] Qian B, Wang L, Hu R, Huang DX, Wang X. A DE-based approach to no-wait flow-shop

scheduling. Computers & Industrial Engineering. (SCI, EI)[2] 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. (SCI, EI)

2009[3] 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, EI)

[4] 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)

[5] 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)[6] 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)

[7] 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 2)

2008[8] 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)

[9] 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)

[10] 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 2)

[11] 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 2)

[12] 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 2)

[13] 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)

[14] 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 1)

[15] 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. (EI-081511199136)

[16] 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 1)

[17] 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 1)

2007[18] 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 8)

[19] 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 10)

[20] 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 3)

[21] 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 3)

[22] 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)

[23] 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 9)

[24] 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 5)

[25] 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 9)

[26] 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 14)

2006[27] 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 9)

[28] 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 1)

[29] 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 4)

[30] 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 2)

[31] 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 5)

[32] 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 2)

[33] 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 2)

2005[34] 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 9)

[35] 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 6)

[36] 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 3)

[37] 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 14)

[38] 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 40)

[39] 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 1)

[40] 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 7)

2004[41] 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)

[42] 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 6)

2003[43] 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 16)

[44] 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 12)

[45] 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 46)

[46] 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)

2002[47] Wang L, Zheng DZ. Finite-time performance analysis for genetic algorithm. Progress in Natural

Science, 2002, 12(12): 940-944. (SCI-620AV, EI-03047337279)[48] 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 11)

[49] 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 5)

2001[50] 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 55)

INTERNATIONAL CONFERENCE PAPER: 2009[1] 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, Shanghai, GEC’2009.

2008[2] 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.

[3] 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)

[4] 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)

[5] 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)

2007[6] 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)

[7] 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)

2006[8] 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)

[9] 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 1)

[10] 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)

[11] 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)

[12] 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)

[13] 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.

[14] 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)

2005[15] 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 1)

[16] 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 1)

[17] 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 2)

[18] 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 6)

2004[19] 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)[20] 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)

[21] 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.

2003[22] 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)

[23] 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)

[24] 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)

2002[25] 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)

[26] 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)

[27] 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 1)

2001[28] 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)

[29] 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)

2000[30] 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: 2009

[1] Pan QK, Wang L, Gao L. The-state-of-art of discrete particle swarm optimization algorithms. Control and Decision, 2009. (in Chinese). (EI)

[2] Wang L, Huang FZ, Li LP. Economic distribution of power systems based on hybrid differential evolution with double populations. Control and Decision, 2009. (in Chinese). (EI)

[3] 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. (in Chinese). (EI)

2008[4] Wang L. Advances in quantum-inspired evolutionary algorithms. Control and Decision, 2008,

23(12): 1321-1326. (in Chinese). (EI-090111830321)[5] 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)[6] 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).

2007[7] 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 1)

2006[8] 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)

[9] 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)

2005[10] 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 9)

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

[12] 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)

[13] 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)

2004[14] 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)

[15] 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)

[16] 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)

[17] 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)

[18] 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)

[19] 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)

[20] 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)

[21] 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).

2003[22] 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 2)

[23] 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)

[24] 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).

[25] Wang L, Zhang L, Zheng DZ. Advances in simulation optimization. Control and Decision, 2003, 18(3): 257-262, 271. (in Chinese). (SCI Times Cited 2)

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

[27] 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)

2002[28] 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)

[29] 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)

[30] 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)

[31] 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)[32] 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)

[33] 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)

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

[35] 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)

[36] 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)

[37] 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)

[38] 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)

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

[40] 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)

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

[42] 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)

2001[43] Wang L, Zheng DZ. A kind of GASA hybrid optimization strategy. Control Theory and

Applications, 2001, 18(4): 552-554. (in Chinese). (EI-01556802755)[44] 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)[45] 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)

[46] 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)

[47] 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)

[48] 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)

[49] 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)

[50] 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)

[51] 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)

[52] 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)

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

[54] 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)

[55] 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 7)

2000[56] 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 1)

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

[58] 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)

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

[60] 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)

[61] 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)

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

1999[63] 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)[64] 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)

Before 1999[65] 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)[66] 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)[67] 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)

[68] 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)

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

[70] 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: 2005[1] 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)

2004[2] 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)

[3] 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)

2002[4] Wang L, Zhang L, Zheng DZ. Fundamental study on genetic ordinal optimization algorithm.

Chinese Process Control Conference, Macon, 2002, 98-102.

2001[5] Wang L, Zheng DZ, Tang F. Chaos—a kind of new optimization technique. Chinese Control

Conference, Dalian, 2001, 185-189.[6] Li QS, Wang L. Optimal design of binary optical instrument based hybrid algorithm. Chinese

Control and Decision Conference, Xi’an, 2001, 346-349.[7] Li QS, Wang L. A kind of hybrid optimization algorithm for complex functions. Chinese

Control and Decision Conference, Xi’an, 2001, 350-353.

Before 2001[8] Wang L, Zheng DZ. Study on performance of simulated annealing based on different neighbor

generators. Chinese Control Conference, Hongkong, 2000, 430-434.[9] Wang L, Zheng DZ. Study on a class of variable-lot flow line scheduling problem. Chinese

Control Conference, Ningbo, 1998, 491-494.[10] Wang L, Zheng DZ. Two kinds of training strategies for feed-forward networks. Chinese

Control Conference, Lushan, 1997, 1059-1062.[11] Wang L, Zheng DZ. Study on simulated annealing for flow shop scheduling problems.

Chinese Control and Decision Conference, Lushan, 1997, 390-394.[12] Wang L, Zheng DZ. Comparative study on several sub-optimal solutions for TSP. Chinese

Control Conference, Qingdao, 1996, 604-607.

ACADEMIC MEMBERSHIP AND REFEREE[1] Visiting Scholar, Department of Industrial and Operations Engineering, University of

Michigan[2] Adjunct Professor, Shandong University at Weihai[3] Adjunct Professor, Liaocheng University[4] Member, IEEE CIS (Computational Intelligence Society) ETTC (Emergent Technology

Technical Committee)[5] Associate Editor, International Journal of Metaheuristics (InderScience)[6] Editorial Board Member, International Journal of Automation and Control (InderScience)[7] Editorial Board Member, European Journal of Industrial Engineering (InderScience)[8] Editorial Board Member: International Journal of Artificial Intelligence and Soft Computing

(InderScience)[9] Editorial Board Member, Memetic Computing Journal (Springer)[10] Editorial Board Member, The Open Operational Research Journal (Bentham Science)[11] Editorial Board Member, Open Operational Research Letters (Bentham Science)[12] Editorial Board Member, Open Operational Research Reviews (Bentham Science)[13] Editorial Board Member, The Open Statistics & Probability Journal (Bentham Science)[14] Editor, International Journal of Soft Computing (Medwell Online)[15] Editor, International Journal of Electric and Power Engineering (Medwell Online)[16] Editor, Asian Journal of Information Technology (Medwell Online)[17] Editor, Journal of Engineering and Applied Sciences (Medwell Online)[18] Reviewer, NSFC Project[19] Reviewer, Fok Ying Tung Education Foundation Project[20] Reviewer, National 863 Project[21] Reviewer, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE)[22] Reviewer, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and

Reviews (IEEE)[23] Reviewer, IEEE Transaction on Evolutionary Computation (IEEE)[24] Reviewer, IEEE Transaction on Neural Networks (IEEE)[25] Reviewer, IEEE Transaction on Automation Science and Engineering (IEEE)[26] Reviewer, IEEE Transaction on Signal Processing (IEEE)[27] Reviewer, IEEE Computational Intelligence Magazine (IEEE)[28] Reviewer, European Journal of Operational Research (Elsevier)[29] Reviewer, Computers & Operations Research (Elsevier)[30] Reviewer, Computers & Industrial Engineering (Elsevier)[31] Reviewer, International Journal of Production Economics (Elsevier)[32] Reviewer, Information Sciences (Elsevier)[33] Reviewer, Applied Mathematical Modelling (Elsevier)[34] Reviewer, Applied Mathematics and Computation (Elsevier)[35] Reviewer, Engineering Applications of Artificial Intelligence (Elsevier)[36] Reviewer, Simulation Modelling Practice and Theory (Elsevier)[37] Reviewer, Neurocomputing (Elsevier)[38] Reviewer, Journal of Computational and Applied Mathematics (Elsevier)[39] Reviewer, Mathematics and Computers in Simulation (Elsevier)

[40] Reviewer, Discrete Event Dynamic Systems: Theory and Applications (Springer)[41] Reviewer, International J of Advanced Manufacturing Technology (Springer)[42] Reviewer, Journal of Global Optimization (Springer)[43] Reviewer, Soft Computing (Springer)[44] Reviewer, Journal of Systems Science and Systems Engineering (Springer)[45] Reviewer, Journal of Computer Science & Technology (Springer)[46] Reviewer, Structural and Multidisciplinary Optimization (Springer)[47] Reviewer, Engineering Optimization (Taylor & Francis)[48] Reviewer, International Journal of Artificial Intelligence Tools (WorldSciNet)[49] Reviewer, ETRI Journal (ETRI)[50] Reviewer, International Journal of Operations Research (ORSTW)[51] Reviewer, Asia Pacific Management Review (NCKU)[52] Reviewer, Proceedings of the Institution of Mechanical Engineers, Part B, Journal of

Engineering Manufacture (Professional Engineering Publishing)[53] Reviewer, Science in China[54] Reviewer, Chinese Science Bulletin[55] Reviewer, ACTA Automatica Sinica[56] Reviewer, Journal of Control Theory and Applications[57] Reviewer, Control Theory and Applications[58] Reviewer, Control and Decision[59] Reviewer, Information and Control[60] Reviewer, Journal of Software[61] Reviewer, Chinese Journal of Computers[62] Reviewer, Chinese Journal of Electronics[63] Reviewer, Acta Electronica[64] Reviewer, CIMS[65] Reviewer, Systems Engineering: Theory and Practice[66] Reviewer, Systems Engineering and Electronics (Chinese and English Editions)[67] Reviewer, Chinese Journal of Chemical Engineering (English Edition)[68] Reviewer, Journal of Chemical Industry and Engineering[69] Reviewer, Journal of Tsinghua University[70] Reviewer, Journal of Zhejiang University[71] Reviewer, Journal of Beijing University of Aeronautics and Astronautics[72] Reviewer, Journal of Wuhan University[73] Reviewer, Journal of Xi’an Jiaotong University[74] Reviewer, Journal of Beijing University of Science and Technology[75] Reviewer, Journal of Beijing University of Posts and Telecommunications[76] Reviewer, Journal of Beijing Institute of Technology[77] Reviewer, Journal of North Jiaotong University[78] Reviewer, Journal of Beijing University of Information and Technology[79] Reviewer, Journal of Shanghai Jiaotong University (Chinese and English Editions)[80] Reviewer, Journal of Tianjin University[81] Reviewer, Journal of Northeast University[82] Reviewer, Journal of Central South University[83] Reviewer, Journal of Haerbin Industrial University[84] Reviewer, Journal of Qingdao University

[85] Reviewer, Journal of University of Science and Technology of China[86] Reviewer, Journal of Dalian Institute of Technology[87] Reviewer, Journal South China Institute of Technology[88] Reviewer, Journal of Southwest Jiaotong University (English Edition)