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王凌, 王圣尧, 方晨. 分布估计调度算法. 北京: 清华大学出版社, 2017
王凌, 钱斌. 混合差分进化与调度算法. 北京: 清华大学出版社, 2012.
王凌, 刘波. 微粒群优化与调度算法. 北京: 清华大学出版社, 2008.
王京春, 王凌, 金以慧 (译). 过程的动态特性与控制. 北京: 电子工业出版社, 2006.
王凌. 车间调度及其遗传算法. 北京: 清华大学&Springer出版社, 2003.
王凌. 智能优化算法及其应用. 北京: 清华大学&Springer出版社, 2001.
Wu CG, Li W, Wang L, Zomaya AY. Hybrid evolutionary scheduling for energy-efficient fog-enhanced internet of things. IEEE Transactions on Cloud Computing. (Regular Paper).
Wang JJ, Wang L. A bi-population cooperative memetic algorithm for distributed hybrid flow-shop scheduling. IEEE Transactions on Emerging Topics in Computational Intelligence. (Regular Paper).
Pan ZX, Lei DM, Wang L. A knowledge-based two-population optimization algorithm for distributed energy-efficient parallel machines scheduling. IEEE Transactions on Cybernetics. (Regular Paper).
Pan QK, Gao L, Wang L. An effective cooperative co-evolutionary algorithm for distributed flowshop group scheduling problems. IEEE Transactions on Cybernetics. (Regular Paper).
Zhao FQ, He X, Wang L. A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem. IEEE Transactions on Cybernetics. (Regular Paper).
Wu XL, Yuan Q, Wang L. Multi-objective differential evolution algorithm for solving robotic cell scheduling problem with batch-processing machines. IEEE Transactions on Automation Science and Engineering. (Regular Paper).
He YM, Wu GH, Chen YW, Pedrycz W, Wang L, Xing LN. A generic Markov decision process model and reinforcement learning method for scheduling agile earth observation satellites. IEEE Transactions on Systems, Man, and Cybernetics: Systems. (Regular Paper).
Deng M, Liu BJ, Li SM, Du RH, Wu GH, Li HF, Wang L. A two-phase coordinated planning approach for heterogeneous earth-observation resources to monitor area targets. IEEE Transactions on Systems, Man, and Cybernetics: Systems. (Regular Paper).
Zhou SC, Xing LN, Zheng X, Du N, Wang L, Zhang QF. A self-adaptive differential evolution algorithm for scheduling a single batch-processing machine with arbitrary job sizes and release times. IEEE Transactions on Cybernetics. (Regular Paper).
Xu BL, Shi J, Lu ML, Cong JL, Wang L, Nener B. An automated cell tracking approach with multi-Bernoulli filtering and ant colony labor division. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (Regular Paper).
Du YH, Wang L, Xing LN, Yan JG, Cai MS. Data-driven heuristic assisted memetic algorithm for efficient inter-satellite link scheduling in the BeiDou navigation satellite system. IEEE/CAA Journal of Automatica Sinica.
Wu CG, Li W, Wang L, Zomaya A. An evolutionary fuzzy scheduler for multi-objective resource allocation in fog computing. Future Generation Computer Systems, 2021, 117: 498-509.
Wang X, Wang L, Wang SY, Chen JF, Wu CG. An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem. Computers & Industrial Engineering, 2021, 152: 107029.
Wu JY, Gong WY, Wang L. A clustering-based differential evolution with different crowding factors for nonlinear equations system. Applied Soft Computing, 2021, 98: 106733.
Wang R, Ma WB, Tan M, Wu GH, Wang L, Gong DW, Xiong J. Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. Information Sciences, 2021, 546: 1148-1165.
Wang JJ, Wang L. A knowledge-based cooperative algorithm for energy-efficient scheduling of distributed flow-shop. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(5): 1805-1819. (Regular Paper).
Li JQ, Song MX, Wang L, Duan PY, Han YY, Sang HY, Pan QK. Hybrid artificial bee colony algorithm for a parallel batching distributed flow shop problem with deteriorating jobs. IEEE Transactions on Cybernetics, 2020, 50(6): 2425-2439. (Regular Paper).
Chang F, Dong MY, Liu M, Wang L, Duan YQ. A lightweight appearance quality assessment system based on parallel deep learning for painted car-body. IEEE Transactions on Instrumentation & Measurement, 2020, 69(8): 5298-5307. (Regular Paper).
Chen HK, Tian Y, Pedrycz W, Wu GH, Wang R, Wang L. Hyperplane assisted evolutionary algorithm for many-objective optimization problems. IEEE Transactions on Cybernetics, 2020, 50(7): 3367-3380. (Regular Paper).
Liu QF, Gehrlein WV, Wang L, Yan Y, Cao YY, Chen W, Li Y. Paradoxes in numerical comparison of optimization algorithms. IEEE Transactions on Evolutionary Computation, 2020, 24(4): 777-791. (Regular Paper).
Du YH, Wang T, Xin B, Wang L, Chen YG, Xing LN. A data-driven parallel scheduling approach for multiple agile earth observation satellites based on cooperative neuro evolution of augmenting topologies. IEEE Transactions on Evolutionary Computation2020, 24(4): 679-693. (Regular Paper).
Rong M, Gong DW, Pedrycz W, Wang L. A multi-model prediction method for dynamic multi-objective evolutionary optimization. IEEE Transactions on Evolutionary Computation, 2020, 24(2): 290-304. (Regular Paper).
Liao ZW, Gong WY, Yan XS, Wang L, Hu CY. Solving nonlinear equations system with dynamic repulsion-based evolutionary algorithms. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(4): 1590-1601. (Regular Paper).
Gong WY, Wang Y, Cai ZH, Wang L. Finding multiple roots of nonlinear equation systems via a repulsion-based adaptive differential evolution. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(4): 1499-1513. (Regular Paper).
Jiang ED, Wang L, Peng ZP. Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition. Swarm and Evolutionary Computation, 2020, 58: 100745.
Jiang ED, Wang L. Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices. Knowledge-Based Systems, 2020, 204: 106177.
Gao KZ, Huang Y, Sadollah A, Wang L. A review of energy-efficient scheduling in intelligent production systems. Complex & Intelligent Systems, 2020, 6(2): 237-249.
Sun BQ, Wang L, Peng ZP. Bound-guided hybrid estimation of distribution algorithm for energy-efficient robotic assembly line balancing. Computers & Industrial Engineering, 2020, 146: 106604.
Zheng J, Wang L, Wang JJ. A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop. Knowledge-Based Systems, 2020, 194: 105536.
Li SJ, Gong WY, Wang L, Yan XS, Hu CY. A hybrid adaptive teaching-learning-based optimization and differential evolution for parameter identification of photovoltaic models. Energy Conversion and Management, 2020, 225: 113474.
Li SJ, Gong WY, Wang L, Yan XS, Hu CY. Optimal power flow by means of improved adaptive differential evolution. Energy, 2020, 198: 117314.
Wang R, Xiong J, He MF, Gao L, Wang L. Multi-objective optimal design of hybrid renewable energy system under multiple scenarios. Renewable Energy, 2020, 151: 226-237.
Yan XS, Li PP, Tang K, Gao L, Wang L. Clonal selection based intelligent parameter inversion algorithm for prestack seismic data. Information Sciences, 2020, 517: 86-99.
Hu CY, Dai LG, Yan XS, Gong WY, Liu XB, Wang L. Modified NSGA-III for sensor placement in water distribution system. Information Sciences, 2020, 509: 488-500.
Chen JF, Wang L, Peng ZP. A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling. Swarm and Evolutionary Computation, 2019, 50: 100557.
Sun BQ, Wang L. A decomposition-based matheuristic for supply chain network design with assembly line balancing. Computers & Industrial Engineering, 2019, 131: 408-417.
Wang JJ, Wang L. Decoding methods for the flow shop scheduling with peak power consumption constraints. International Journal of Production Research, 2019, 57(10): 3200-3218.
Xiang S, Xing LN, Wang L, Zou K. Comprehensive learning pigeon-inspired optimization with tabu list. SCIENCE CHINA Information Sciences, 2019, 62(7): 070208.
Lei DM, Li M, Wang L. A two-phase meta-heuristic for multi-objective flexible job shop scheduling problem with total energy consumption threshold. IEEE Transactions on Cybernetics, 2019, 49(3): 1097-1109. (Regular Paper).
Wang L, Lu JW. A memetic algorithm with competition for the capacitated green vehicle routing problem. IEEE/CAA Journal of Automatica Sinica, 2019, 6(2): 516-526.
Jiang ED, Wang L. An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time. International Journal of Production Research, 2019, 57(6): 1756-1771.
Zhang JW, Wang L, Xing LN. Large-scale medical examination scheduling technology based on intelligent optimization. Journal of Combinatorial Optimization, 2019, 37(1): 385-404.
Li SJ, Gong WY, Yan XS, Hu CY, Bai DY, Wang L. Parameter estimation of photovoltaic models with memetic adaptive differential evolution. Solar Energy, 2019, 190: 465-474.
Zheng XL, Wang L. A collaborative multi-objective fruit fly optimization algorithm for the resource constrained unrelated parallel machine green scheduling problem. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48(5): 790-800. (Regular Paper).
Wang Y, Shi JM, Wang R, Liu Z, Wang L. Siting and sizing of fast charging stations in highway network with budget constraint. Applied Energy, 2018, 228: 1255-1271.
Gong WY, Yan XS, Hu CY, Wang L, Gao L. Fast and accurate parameter extraction for different types of fuel cells with decomposition and nature-inspired optimization method. Energy Conversion and Management, 2018, 174: 913-921.
Wang R, Lai SM, Wu GH, Xing LN, Wang L, Ishibuchi H. Multi-clustering via evolutionary multi-objective optimization. Information Sciences, 2018, 450: 128-140.
Wu CG, Wang L. A multi-model estimation of distribution algorithm for energy efficient scheduling under cloud computing system. Journal of Parallel and Distributed Computing, 2018, 117: 63-72.
Wang L, Zheng XL. A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem. Swarm and Evolutionary Computation, 2018, 38: 54-63.
Gao KZ, Wang L, Luo JP, Jiang H, Sadollah A, Pan QK. Discrete harmony search algorithm for scheduling and rescheduling the re-processing problems in remanufacturing: A case study. Engineering Optimization, 2018, 50(6): 965-981.
Wang R, Li GZ, Ming MJ, Wu GH, Wang L. An efficient multi-objective model and algorithm for sizing a stand-alone hybrid renewable energy system. Energy, 2017, 141: 2288-2299.
Zheng HY, Wang L, Zheng XL. Teaching-learning-based optimization algorithm for multi-skill resource constrained project scheduling problem. Soft Computing, 2017, 21(6): 1537-1548.
Deng J, Wang L. A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem. Swarm and Evolutionary Computation, 2017, 32: 121-131.
Zheng XL, Wang L. A knowledge-guided fruit fly optimization algorithm for dual resource constrained flexible job-shop scheduling problem. International Journal of Production Research, 2016, 54(18): 5554-5566.
Tian MM, Jiang YH, Gao XY, Wang L, Huang DX. Plantwide scheduling model for the typical polyvinyl chloride production by calcium carbide method. Industrial & Engineering Chemistry Research, 2016, 55(21): 6161-6174.
Zheng XL, Wang L. A two-stage adaptive fruit fly optimization algorithm for unrelated parallel machine scheduling problem with additional resource constraints. Expert Systems with Applications, 2016, 65: 28-39.
Wang L, Wang SY, Zheng XL. A hybrid estimation of distribution algorithm for unrelated parallel machine scheduling with sequence-dependent setup times. IEEE/CAA Journal of Automatica Sinica, 2016, 3(3): 235-246.
Shen JN, Wang L, Zheng HY. A modified teaching-learning-based optimization algorithm for bi-objective re-entrant hybrid flowshop scheduling. International Journal of Production Research, 2016, 54(12): 3622-3639.
Deng J, Wang L, Wang SY, Zheng XL. A competitive memetic algorithm for the distributed two-stage assembly flow-shop scheduling problem. International Journal of Production Research, 2016, 54(12): 3561-3577.
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.
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