王凌

1990年9月至1995年7月 在清華大學自動化系過程式控制制專業學習，獲學士學位。

1995年9月至1999年10月 在清華大學自動化系控制理論與控制工程專業學習，獲博士學位。

1999年10月至2002年11月 清華大學自動化系過程式控制制工程研究所 講師。

2002年12月至2008年11月 清華大學自動化系過程式控制制工程研究所 副教授。

2007年1月至2008年1月 美國密西根大學工業與運作工程系 訪問學者。

2008年12月至今 清華大學自動化系過程式控制制工程研究所 教授 博士生導師。

智能優化演演算法及其應用 (本科生課程)。

自動控制原理 (本科生課程) [北京市精品課程] [國家精品課程]。

生產調度及其智能優化 (研究生課程)。

人工神經網路 (研究生課程)。

文獻檢索與論文寫作 (工程碩士課程)。

智能優化理論、方法與應用。

複雜生產過程建模、優化與調度。

1. 中國自動化學會過程式控制制專委會委員、控制理論專委會委員。

2. 中國運籌學會排序專委會常務理事。

3. 中國運籌學會智能工業數據解析與優化專委會常務理事。

4. 中國人工智慧學會智能優化專委會常務理事。

5. 北京市自動化學會常務理事。

6.中國自動化學會能源網際網路專委會常務理事。

7. International J of Automation and Control (InderScience) 編委。

8. International J of Applied and Computational Mathematics (Spriner)副編輯。

9. Memetic Computing (Springer)編委。

10.Swarm and Evolutionary Computation (Elsevier) 副編輯。

11. 《控制與決策》 編委。

12. 《控制工程》 編委。

國家傑出青年科學基金(61525304)：智能優化調度理論與方法。(負責人) (2016.1~2020.12)

國家自然科學基金項目(61174189)：複雜資源受限項目調度問題及其混合智能演演算法研究(負責人) (2012.1~2015.12)

國家自然科學基金項目(70871065)：基於學習機制的群智能調度理論與方法研究。(負責人) (2009.1~2011.12)

國家自然科學基金項目(60774082)：複雜生產系統基於差分進化和量子進化的優化調度理論與方法。(負責人) (2008.1~2010.12)

國家自然科學基金項目(60374060)：複雜生產系統的智能模擬優化理論與方法研究。(負責人) (2004.1~2006.12)

國家自然科學基金項目(60204008)：複雜系統基於計算智能的混合優化理論與方法。(負責人) (2003.1~2005.12)

國家自然科學基金重點項目(60834004)：複雜晶元製造過程實時調度與優化控制理論和演演算法研究及應用。(骨幹) (2009.1~2012.12)

教育部新世紀優秀人才支持計劃(NCET-10-0505)。(負責人) (2010.1~2012.12)

高等學校博士學科點專項科研基金(20130002110057)：基於協同分佈估計演演算法的分散式車間調度研究。(負責人) (2014.1~2016.12)

高等學校博士學科點專項科研基金(20100002110014)：基於新型混合群智能的資源約束項目調度研究。(負責人) (2011.1~2013.12)

北京市科技新星計劃(2004A41)：混合智能優化調度理論與演演算法研究。(負責人) (2004.7~2007.7)

教育部留學回國啟動基金：基於混合差分進化的優化調度研究。(負責人) (2009.1~2010.12)

973計劃課題(2013CB329503)：面向腦信息編解碼的機器學習方法。(骨幹) (2013.01~2017.12)

國家重點研發計劃(2016YFB0901900)：能源網際網路的規劃、運行與交易基礎理論。(課題一負責人) (2016.7~2020.6)

王凌, 錢斌. 混合差分進化與調度演演算法. 北京: 清華大學出版社, 2012.

王凌, 劉波. 微粒群優化與調度演演算法. 北京: 清華大學出版社, 2008.

王京春, 王凌, 金以慧 (譯). 過程的動態特性與控制. 北京: 電子工業出版社, 2006.

王凌. 車間調度及其遺傳演演算法. 北京: 清華大學&Springer出版社, 2003.

王凌. 智能優化演演算法及其應用. 北京: 清華大學&Springer出版社, 2001.

Wang SY, Wang L. An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46(1): 139-149. (Regular Paper).

Shi L, Jiang YH, Wang L, Huang DX. Efficient Lagrangian decomposition approach for solving refinery production scheduling problems involving operational transitions of mode switching. Industrial & Engineering Chemistry Research, 2015, 54(25): 6508-6526.

Zheng HY, Wang L. Reduction of carbon emissions and project makespan by a Pareto-based estimation of distribution algorithm. International Journal of Production Economics, 2015, 164: 421-432.

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, 2015, 28(3): 307-320.

Zheng HY, Wang L. An effective teaching-learning-based optimization algorithm for RCPSP with ordinal interval numbers. International Journal of Production Research, 2015, 53(6): 1777-1790.

Zhang X, Chen MY, Wang L, Peng ZH, Zhou DH. Connection-graph-based event-triggered output consensus in multi-agent systems with time-varying couplings. IET Control Theory and Applications, 2015, 9(1): 1-9.

Shi L, Jiang YH, Wang L, Huang DX. Refinery production scheduling involving operational transitions of mode switching under predictive control system. Industrial & Engineering Chemistry Research, 2014, 53(19): 8155-8170.

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.

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).

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.

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).

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.

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.

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.

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).

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.

Fang C, Wang L. An effective shuffled frog-leaping algorithm for resource-constrained project scheduling problem. Computers & Operations Research, 2012, 39(5): 890-901.

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.

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.

Wang L, Li LP. Fixed-structure H∞ controller synthesis based on differential evolution with level comparison. IEEE Transactions on Evolutionary Computation, 2011, 15(1): 120-129. (Regular paper).

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.

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

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.

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.

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.

Wang L, Li LP. An effective differential evolution with level comparison for constrained engineering design. Structural and Multidisciplinary Optimization, 2010, 41(6): 947-963.

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.

Wang L, Huang FZ. Parameter analysis based on stochastic model for differential evolution algorithm. Applied Mathematics and Computation, 2010, 217(7): 3263-3273.

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.

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.

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.

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.

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.

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.

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).

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.

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).

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). (ESI)

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. (ESI)

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.

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. (ESI)

Wang L, Zheng DZ. An effective hybrid heuristic for flow shop scheduling. International Journal of Advanced Manufacturing Technology, 2003, 21(1): 38-44.

Jiang YH, Wang L, Jin YH. Bottleneck analysis for network flow model. Advances in Engineering Software, 2003, 34(10): 641-651.

Zhou T, Wang L, Sun ZS. Closed-loop model set validation under a stochastic framework. Automatica, 2002, 38(9): 1449-1461.

Wang L, Zheng DZ. An effective hybrid optimization strategy for job-shop scheduling problems. Computers & Operations Research, 2001, 28(6): 585-596.

2015年度國家傑出青年科學基金。

2009年度教育部新世紀優秀人才支持計劃。

2009年度清華大學學術新人獎。

2004年度北京市科技新星。

2010年度Scopus青年科學之星新人獎。

2014年度國家自然科學獎二等獎。

2011年度中國電子學會電子信息科學技術獎二等獎。

2008年度北京市科學技術獎三等獎。

2007年度高等學校科學技術獎自然科學獎二等獎。

2003年度教育部提名國家自然科學一等獎。

2014年度自動化學報優秀論文獎、2016年度控制理論與應用優秀論文獎。

2005-2010 Engineering Applications of Artificial Intelligence Top Cited Article Awarded by Elsevier。

國際和聲搜索演演算法會議最佳論文獎, ICHSA’2015。

中國過程式控制制年會Poster論文獎, CPCC’2014。

高等計算智能與智能信息國際會議最佳論文獎, IWACIII’2013。

IEEE國際智能計算會議最佳論文獎, ICIC’2011。

Finalist for Zhang Si-Ying Outstanding Youth Paper Award, CCDC’2010。

IET諮詢與控制技術國際會議優秀論文, ICT’2006。

中國控制與決策年會優秀論文, CCDC’2004。

IEEE機器學習和控制論國際會議優秀論文獎, ICMLC’2002。

清華大學優秀博士論文一等獎。

清華大學優秀教材二等獎 (2004, 2008, 2012)。

清華大學第14屆良師益友 (2014)。

清華大學優秀班主任一等獎 (2004, 2005)。