[1]      Hongfeng Wang, S. Yang. Evolutionary Computation for Dynamic Optimization Problems, in the series Studies in Computational Intelligence. Springer-Verlag, 2013.

[2]     汪定伟, 王俊伟, 王洪峰, 张瑞友, 郭哲. 智能优化方法(研究生教材). 高等教育出版社, 2007.

[1]      Q. Yan, Hongfeng Wang*, S.X. Yang. A learning-assisted bi-population evolutionary algorithm for distributed flexible job-shop scheduling with maintenance decisions. IEEE Transactions on Evolutionary Computation, Early Access, May 2024. (IF: 14.3, 中科院1区, JCR 1区)

[2]      Y.P. Fu, X.M. Ma, K.Z. Gao, Hongfeng Wang, A. Sadollah, L.Y. Chen. Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints. Swarm and Evolutionary Computation, 2024, 85(3): 101484. (IF: 10.0, 中科院1区, JCR 1区)

[3]      Y.S. Hou, Hongfeng Wang*, X.L. Huang. A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems. Engineering Applications of Artificial Intelligence, 2024,127: 107434. (IF: 8.0, 中科院2区, JCR 1区)

[4]      Q. Yan, Hongfeng Wang*. Synchronisation of operations and maintenance in distributed unrelated parallel machine systems: a hierarchical optimisation framework. Enterprise Information Systems, Early Access, May 2024. (IF: 4.4, 中科院4区, JCR 2区)

[5]      Hongfeng Wang, Q. Yan, J.W. Wang. Blockchain-secured multi-factory production with collaborative maintenance using Q learning-based optimisation approach. International Journal of Production Research, 2023, 61(11): 3685-3702. (IF: 9.2, 中科院2区, JCR 1区)

[6]      Y.S. Hou, Hongfeng Wang*, Y.P. Fu, K.Z. Gao, H. Zhang. Multi-objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness. Computers & Industrial Engineering, 2023, 179: 109217. (IF: 7.9, 中科院1区, JCR 1区)

[7]      Y.H. Jia, Q. Yan, Hongfeng Wang*. Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance. Expert Systems With Applications, 2023, 232: 120837. (IF: 8.5, 中科院1区, JCR 1区)

[8]      S.S. Zhang, Hongfeng Wang*, G. Li, J.W. Wang. Modeling of the resilient supply chain system from a perspective of production design changes. Frontiers of Engineering Management, 2023, 10: 96-106. (IF:7.4, 中国工程院院刊, 中科院2区)

[9]      J.T. Dong, Hongfeng Wang*, S.Z. Zhang. Dynamic electric vehicle routing problem considering mid-route recharging and new demand arrival using an improved memetic algorithm. Sustainable Energy Technologies and Assessments, 2023, 58: 103366. (IF: 8.0, 中科院2区, JCR 1区)

[10]  D.Z. Wang, Y.J. Ji, Hongfeng Wang, M. Huang. Binary grey wolf optimizer with a novel population adaptation strategy for feature selection. IET Control Theory & Applications, 2023, 17: 2313-2331. (IF: 2.6, 中科院4区, JCR 2区)

[11]  Z.P. Ge, Hongfeng Wang*. Integrated optimization of blocking flowshop scheduling and preventive maintenance using a Q-Learning-based aquila optimizer. Symmetry, 2023, 15: 1600. (IF: 2.7, 中科院3区, JCR 2区)

[12]  N. Wang, J.Z. Chen, Hongfeng Wang*. Resilient supply chain optimization considering alternative supplier selection and temporary distribution center location. Mathematics, 2023, 11: 3955. (IF: 2.4, 中科院3区, JCR 1区)

[13]  N. Wang, F. Wu, Hongfeng Wang*. A customized IMOEA/D for bi-objective single-machine scheduling with adaptive preventive maintenance. Machines, 2023, 11: 897. (IF: 2.6, 中科院3区, JCR 2区)

[14]  J.Z. Chen, H.D. Kang, Hongfeng Wang*. A product-design-change-based recovery control algorithm for supply chain disruption problem. Electronics, 2023, 12: 2552. (IF: 2.9, 中科院3区, JCR 2区)

[15]  Q. Yan, Hongfeng Wang*. Double-layer Q-learning-based joint decision-making of dual resource-constrained aircraft assembly scheduling and flexible preventive maintenance. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(6): 4938-4952. (IF: 3.491, 中科院1区, JCR 1区)

[16]  Q. Yan, Hongfeng Wang*, F. Wu. Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm. Computers & Operations Research, 2022, 144: 105823. (IF:5.159, 中科院2区, JCR 1区)

[17]  Y.F. Li, Hongfeng Wang*, N. Wang, T.L. Zhang. Optimal scheduling in cloud healthcare system using Q-learning algorithm. Complex & Intelligent Systems, 2022, 8(6): 4603-4618. (IF: 6.7, 中科院2区, JCR 1区)

[18]  J.Z. Chen, Hongfeng Wang*, Y. P. Fu. A multi-stage supply chain disruption mitigation strategy considering product life cycle during COVID-19. Environmental Science and Pollution Research, Early Access, Feb 2022. (IF: 5.19, 中科院3区, JCR 1区)

[19]  X.L. Lu, X.J. Pu, Hongfeng Wang, Y.P. Fu. Dual-objective modeling and optimization of a low-carbon waste-classified collection problem. Environmental Science and Pollution Research, 2022, 30: 35076–35095. (IF: 5.8, 中科院3区, JCR 1区)

[20]  Q. Yan, W.B. Wu, Hongfeng Wang*. Deep reinforcement learning for distributed flow shop scheduling with flexible maintenance. Machines, 2022, 10(3): 210. (IF: 2.899, 中科院3区, JCR 2区)

[21]  H.Y. Wang, M. Huang, Hongfeng Wang*. Fourth-Party Logistics Environmental Compliance Management: Investment and Logistics Audit. Sustainability, 2022, 14(16): 10106. (IF: 3.889, 中科院3区, JCR 2区)

[22]  Hongfeng Wang, Q. Yan, S.Z. Zhang. Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach. Advanced Engineering Informatics, 2021, 49: 101339. (IF: 5.603, 中科院1区, JCR 1区)

[23]  J.Z. Chen, Hongfeng Wang*, R.Y. Zhong. A supply chain disruption recovery strategy considering product change under COVID-19. Journal of Manufacturing Systems, 2021, 60: 920-927. (IF: 9.498, 中科院1区, JCR 1区)

[24]  Y.P. Fu, Hongfeng Wang*, J.W. Wang, X.J. Pu. Multiobjective modeling and optimization for scheduling a stochastic hybrid flow shop with maximizing processing quality and minimizing total tardiness. IEEE Systems Journal, 2021, 15(3): 4696-4707. (IF: 3.931, 中科院2区, JCR 1区)

[25]  Y.F. Li, Hongfeng Wang*, L. Li, Y.P. Fu. Dynamic large-scale server scheduling for IVF queuing network in cloud healthcare system. Complexity, 2021, Article ID: 6670288. (IF: 2.833, 中科院3区, JCR 2区)

[26]  H.Y. Wang, M. Huang, Hongfeng Wang, X.H. Feng, Y.J. Zhou. Contract design for the fourth party logistics considering tardiness risk. International Journal of Industrial Engineering Computations, 2021, 13(1): 13-30. (IF: 3.271, 中科院3区, JCR 2区)

[27]  N. Wang, Y.H. Sun, Hongfeng Wang*. An adaptive memetic algorithm for dynamic electric vehicle routing problem with time-varying demands. Mathematical Problems in Engineering, 2021, Article ID: 6635749. (IF: 1.43, 中科院4区, JCR 3区)

[28]  Y.P. Fu, D. Wu, Y. Wang, Hongfeng Wang*. Facility location and capacity planning considering policy preference and uncertain demand under the One Belt One Road initiative. Transportation Research, Part A: Policy and Practice, 2020, 138: 172-186. (IF: 6.615, 中科院2区, JCR 1区)

[29]  X.J. Pu, B.W. Ji, Hongfeng Wang*. Online channel strategies under different offline channel power structures for the belt and road of China. Maritime Policy & Management, 2020, 47(6): 756-777. (IF: 3.167, 中科院3区, JCR 3区)

[30]  X.J. Pu, Z.X. Yue, Q.Y. Chen, Hongfeng Wang, G.H. Han. Trust-based cooperation in Silk Road Economic Belt countries: strategical ordering in the assembly supply chain. International Journal of Logistics Management, 2020, 31(4): 801-828. (IF: 7.5, 中科院3区, JCR 1区)

[31]  D.Z. Wang, Y.H. Chen, Hongfeng Wang, M. Huang. Formulation of the non-parametric value at risk portfolio selection problem considering symmetry. Symmetry-Basel, 2020, 12(10): 1-18. (IF: 2.94, 中科院4区, JCR 2区)

[32]  Hongfeng Wang, M. Huang, J.W. Wang. An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs. Journal of Intelligent Manufacturing, 2019, 30(7): 2733-2742. (IF: 7.136, 中科院1区, JCR 1区)

[33]  Y.P. Fu, Hongfeng Wang*, G.D. Tian, Z.W. Li, H.S. Hu. Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm. Journal of Intelligent Manufacturing, 2019, 30(5): 2257-2272. (IF: 7.136, 中科院1区, JCR 1区)

[34]  Y.F. Li, Hongfeng Wang*, Y. Li, L. Li. Patient assignment scheduling in a cloud healthcare system based on petri net and greedy-based heuristic. Enterprise Information Systems, 2019, 13(4): 515-533. (IF: 4.407, 中科院3区, JCR 2区)

[35]  Y.P. Fu, Hongfeng Wang*, M. Huang. Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model. Enterprise Information Systems, 2019, 13(4): 557-573. (IF: 4.407, 中科院3区, JCR 2区)

[36]  Y.P. Fu, Hongfeng Wang*, M. Huang, J.W. Wang. A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem. Natural Computing, 2019, 18: 757-768. (IF: 1.504, 中科院4区, JCR 3区)

[37]  J.W. Wang, Hongfeng Wang, Y.M. Zhou, W.J. Zhang. On an integrated approach to resilient transportation systems in emergency situations. Natural Computing, 2019, 18: 815-823. (IF: 2.1, 中科院4区, JCR 3区)

[38]  N. Wang, Y.P. Fu, Hongfeng Wang*. A meta-heuristic algorithm for integrated optimization of dynamic resource allocation planning and production scheduling in parallel machine system. Advances in Mechanical Engineering, 2019, 11(12): 1-10. (IF: 1.566, 中科院4区, JCR 4区)

[39]  Y.P. Fu, J.L. Ding, Hongfeng Wang, J.W. Wang. Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. Applied Soft Computing, 2018, 68: 847-855. (IF: 80263, 中科院2区, JCR 1区)

[40]  Y.P. Fu, Hongfeng Wang*, M. Huang, J.L. Ding, G.D. Tian. Multiobjective flow shop deteriorating scheduling problem via an adaptive multipopulation genetic algorithm. Journal of Engineering Manufacture, 2018, 232(14): 2641-2650. (IF: 2.759, 中科院3区, JCR 2区)

[41]  Hongfeng Wang, Y.P. Fu, M. Huang, G.Q. Huang, J.W. Wang. A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem. Computer & Industrial Engineering, 2017, 113: 185-194. (IF: 7.18, 中科院2区, JCR 1区)

[42]  Hongfeng Wang, Y.P. Fu, M. Huang, G.Q. Huang, J.W. Wang. A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems. Soft Computing, 2017, 21: 5975-5987. (IF: 3.732, 中科院3区, JCR 2区)

[43]  Hongfeng Wang, Y.P. Fu, M. Huang, J.W. Wang. Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs. Enterprise Information Systems, 2016, 10(3): 268-285. (IF: 4.407, 中科院3区, JCR 2区)

[44]  J.W. Wang, R.R. Muddada, Hongfeng Wang, J.L. Ding, Y.Z. Lin, C.L. Liu, W.J. Zhang. Towards a resilient holistic supply chain network system: concept, review and future direction. IEEE Systems Journal, 2016, 10(2): 410-421. (IF: 4.802, 中科院2区, JCR 2区)

[45]  J.W. Wang, Hongfeng Wang, J.L. Ding, F. Furuta, T. Kanno, W.H. Ip, W.J. Zhang. On domain modelling of the service system with its application to enterprise information systems. Enterprise Information Systems, 2016, 10(1): 1-16. (IF: 4.407, 中科院3区, JCR 2区)

[46]  J.L. Ding, T.Y. Chai, Hongfeng Wang, J.W. Wang, X.P. Zheng. An intelligent factory-wide optimal operation system for continuous production process. Enterprise Information Systems, 2016, 10(3): 286-302. (IF: 4.407, 中科院3区, JCR 2区)

[47]  Y.M. Zhou, H.C. Huang, J.L. Ding, Hongfeng Wang, Y. Chen, J.W. Wang. Modelling chlorophyll a concentration affected by artificial upwelling in Qiangdao Lake. IEEE Journal of Oceanic Engineering, 2016, 41(4): 960-969. (IF: 3.883, 中科院2区, JCR 1区)

[48]  Y.P. Fu, Hongfeng Wang*, M. Huang. Locate multiple pareto optima using a species -based multi-objective genetic algorithm. Communications in Computer and Information Science, 2014, 472: 128-137.

[49]  J.W. Wang, Hongfeng Wang, W.J. Zhang, W.H. Ip, F. Furuta. On a unified definition of the service system: what is its identity? IEEE Systems Journal, 2014, 8(3): 821-826. IF: 4.802, 中科院2区, JCR 2区)

[50]  J.W. Wang, Hongfeng Wang, W.J. Zhang, W.H. Ip, F. Furuta. Evacuation planning based on the contraflow technique with consideration of evacuation priorities and traffic setup time. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(1): 480-485. (IF: 9.551, 中科院1区, JCR 1区)

[51]  J.W. Wang, Hongfeng Wang, W.H. Ip, K. Furuta. Predatory search strategy based on swarm intelligence for continuous optimization problems. Mathematical Problems in Engineering, 2013, Article ID: 749256. (IF: 1.43, 中科院4区, JCR 3区)

[52]  Hongfeng Wang, I.K. Moon, S.X. Yang, D.W. Wang. A memetic particle swarm optimization algorithm for multimodal optimization problems. Information Sciences, 2012, 197: 38-52. (IF: 8.233, 中科院1区, JCR 1区)

[53]  Hongfeng Wang, S.X. Yang, W.H. Ip, D.W. Wang. A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. International Journal of Systems Science, 2012, 43(7): 1268-1283. (IF: 2.648, 中科院4区, JCR 2区)

[54]  K. Kang, I.K. Moon, Hongfeng Wang. A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem. Applied Mathematics and Computation, 2012, 219: 1287-1299. (IF: 4.397, 中科院2区, JCR 1区)

[55]  Hongfeng Wang, S.X. Yang, W.H. Ip, D.W. Wang. A particle swarm optimization based memetic algorithm for dynamic optimization problems. Natural Computing, 2010, 9: 703-725. (IF: 1.504, 中科院4区, JCR 3区)

[56]  Hongfeng Wang, S.X. Yang, W.H. Ip, D.W. Wang. Adaptive primal-dual genetic algorithms in dynamic environments. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2009, 39(6): 1348-1361. (IF: 6.22, 中科院1区, JCR 1区)

[57]  Hongfeng Wang, D.W. Wang, S.X. Yang. A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Soft Computing, 2009, 13: 763-780. (IF: 3.732, 中科院3区, JCR 2区)

[58]  C.H. Wu, D.Z. Wang, W.H. Ip, D.W. Wang, C.Y. Chan, Hongfeng Wang. A particle swarm optimization approach for components placement inspection on printed circuit boards. Journal of Intelligent Manufacturing, 2009, 20: 535-549. (IF: 7.136, 中科院1区, JCR 1区)

[59]  Y. Yang, D.Z. Wang, D.W. Wang, W.H. Ip, Hongfeng Wang. Single machine group scheduling problems with the effects of deterioration and learning. ACTA Automatica Sinica, 2009, 35(10): 1290-1295.

[60]  Hongfeng Wang, D.W. Wang, S.X. Yang. Triggered memory-based swarm optimization in dynamic environments. Lecture Notes in Computer Science, 2007, 4448: 637-646. (IF: 0.302, JCR 4区)

[61]  Hongfeng Wang, D.W. Wang. Three-island PSO memory enhanced in dynamic environment. Dynamics of Continuous Discrete and Impulsive Systems - Series B - Applications & Algorithms, 2006, 13: 16-20. (IF: 0.193, JCR 4区)

[62]  Hongfeng Wang, D.W. Wang. An improved primal-dual genetic algorithm for optimization in dynamic environments. Lecture Notes in Computer Science, 2006, 4234: 836-844. (IF: 0.302, JCR 4区)

*代表通讯作者

[1]     王娜, 李亚飞, 王洪峰*. 基于鲁棒优化的云医疗资源配置问题. 控制与决策, 2021, 36(2): 469-474.

[2]     王娜, 汪定伟, 王洪峰. 可拆分多物品的拍卖-谈判采购机制设计. 控制工程, 2020, 27(8): 1401-1405.

[3]     付亚平, 王洪峰*, 黄敏, 王兴伟. 基于自适应多种群策略的混合多目标优化算法. 系统工程学报, 2017, 32(6): 738-748.

[4]     王娜, 刘生, 王洪峰. 基于自适应多种群策略的混合多目标优化算法. 沈阳师范大学学报(自然科学版), 2017, 35(4): 425-429.

[5]     付亚平, 王洪峰*, 黄敏, 王兴伟. 设备具有恶化特性的多目标流水车间调度模型与算法. 系统工程理论与实践, 2016, 36(11): 2941-2950.

[6]     付亚平, 黄敏, 王洪峰*, 王兴伟. 面向多目标流水车间调度的多种群多目标遗传算法. 控制理论与应用, 2016, 33(10): 1281-1288.

[7]     付亚平, 王洪峰*, 黄敏. 面向多目标优化问题的基于Species的遗传算法. 东北大学学报(自然科学版), 2016, 37(3): 314-318.

[8]     黄敏, 付亚平, 王洪峰, 朱兵虎, 王兴伟. 设备带有恶化特性的作业车间调度模型与算法. 自动化学报, 2015, 41(3): 551-558.

[9]     李浩渊, 王洪峰, 孙冬石. 集装箱预倒箱问题的多阶段遗传算法研究. 控制工程, 2015, 22(4): 700-704.

[10]  付亚平, 黄敏, 王洪峰, 王兴伟. 混合并行机调度问题的多目标优化模型及算法. 控制理论与应用, 2014, 31(11): 1510-1516.

[11]  王洪峰, 张迁, 李小将. 基于Species 机制的多目标遗传算法. 东北大学学报(自然科学版), 2014, 35(4): 479-483.

[12]  王洪峰, 王娜, 汪定伟. 一种求解动态多峰优化问题的Memetic粒子群算法. 系统工程理论与实践, 2013, 33(6): 1577-1586.

[13]  施永贵, 王洪峰*, 唐加福, 孙鸿睿, 王文婧. 多业务CDMA网络基站规划模型与算法研究. 系统仿真学报, 2013, 25(6): 1410-1414.

[14]  薄桂华, 黄敏, 王洪峰. 4PL路径优化问题0-1规划模型与求解. 控制工程, 2013, 20(2): 239-243.

[15]  王洪峰, 王娜, 汪定伟, 黄敏. 一种求解多峰优化问题的改进Species粒子群算法. 系统工程学报, 2012, 27(6): 854-864.

[16]  施永贵, 王洪峰*, 唐加福, 何晶晶. 多业务CDMA网络参数优化模型与算法. 信息与控制, 2012, 41(8): 499-504.

[17]  施永贵, 王洪峰*, 唐加福, 马辉. 基于功率控制CDMA容量优化的应用. 控制工程, 2012, 19(3): 451-454.

[18]  施永贵, 王洪峰*, 唐加福. 基于案例的CDMA网络故障管理决策支持系统. 东北大学学报(自然科学版), 2011, 32(7): 927-931.

[19]  施永贵, 王洪峰, 唐加福, 王骥, 周平, 马辉. CDMA2000 1x EVDO网络接入性能优化分析. 通信技术, 2011, 44(5): 127-130.

[20]  王洪峰, 汪定伟, 黄敏. 求解动态优化问题的分叉PSO算法. 系统仿真学报, 2011, 22(12): 2895-2899.

[21]  王洪峰, 汪定伟, 黄敏. 动态环境中的Memetic算法. 控制理论与应用, 2010, 27(8): 1060-1068.

[22]  闫杨, 王大志, 汪定伟, 王洪峰. 动态环境中的多智能体进化算法. 系统工程学报, 2010, 25(4): 547-553.

[23]  刘黎黎, 汪定伟, 王洪峰. 求解0-1动态优化问题的双概率原对偶遗传算法. 系统工程学报, 2009, 24(5): 636-640.

[24]  闫杨, 王大志, 汪定伟, 王洪峰. 求解动态背包问题的多智能体进化算法. 东北大学学报(自然科学版), 2009, 30(7): 948-951.

[25]  闫杨, 汪定伟, 王大志, 王洪峰. 具有优先约束的单机随机排序问题. 数学的实践与认识, 2009, 39(5): 126-137.

[26]  孙宪丽, 黄敏, 王洪峰, 王兴伟. 允许费用超支情况下的虚拟企业分布式风险管理. 信息与控制, 2009, 38(1): 81-86.

[27]  王洪峰, 汪定伟. 一种动态环境下带有记忆的三岛粒子群算法. 系统工程学报, 2008, 23(2): 252-256.

[28]  闫杨, 王大志, 汪定伟, 王洪峰. 一类资源约束的单机成组调度问题. 控制理论与应用, 2008, 25(5): 901-904.

[29]  闫杨, 王大志, 汪定伟, 王洪峰. 一类具有资源约束和恶化效应的单机成组排序问题. 控制与决策, 2008, 23(12): 1413-1417.

[30]  王大志, 闫杨, 汪定伟, 王洪峰. 基于OpenMP 求解无容量设施选址问题的并行PSO算法. 东北大学学报(自然科学版), 2008, 29(12): 1861-1864.

[31]  王洪峰, 汪定伟, 杨圣祥. 动态环境中的进化算法. 控制与决策, 2007, 22(2): 127-132.

[32]  王洪峰, 汪定伟, 刘黎黎. 求解动态优化问题的改进原对偶遗传算法. 东北大学学报(自然科学版), 2007, 28(5): 639-642.

[33]  袁媛, 汪定伟, 王洪峰. 基于案例推理的供水故障管理决策支持系统. 东北大学学报(自然科学版), 2007, 28(5): 635-638.

[34]  王娜, 王洪峰. 多水源供水系统宏观管网模型及其求解方法. 沈阳师范大学学报(自然科学版), 2007, 25(4): 461-464.

[35]  王洪峰, 汪定伟, 张国祥. 多水源给水系统一级调度模型及其算法研究. 中国企业运筹学, 2006, 1: 17-21.

[36]  邹广宇, 王洪峰, 汪定伟, 张国祥. 基于神经元网络模型的城市用水量预测. 信息与控制, 2004, 33(3): 364-368.

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[1]    香江学者奖, 颁奖单位: 中国博士后管理委员会、香港学者协会, 获奖时间: 2015.03.

[2]     复杂制造系统运作决策与优化方法研究, 教育部自然科学二等奖(2013-057), 颁奖单位: 教育部, 获奖时间: 2014.01.

[3]     A memetic particle swarm optimization algorithm for multimodal optimization problems, 辽宁省自然科学学术成果一等奖(2013-LNL1559), 颁奖单位: 辽宁省自然科学学术成果奖评审委员会, 获奖时间: 2013. 08.

[4]     东北大学优秀博士后, 颁奖单位: 东北大学, 获奖时间: 2010.12.

[5]     Adaptive primal-dual genetic algorithms in dynamic environments, 辽宁省自然科学学术成果一等奖(2010-LNL0135), 颁奖单位: 辽宁省自然科学学术成果奖评审委员会, 获奖时间: 2010. 06.

[6]     A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems, 辽宁省自然科学学术成果二等奖(2010-LNL0295), 颁奖单位: 辽宁省自然科学学术成果奖评审委员会, 获奖时间: 2010. 06.

[7]     基于CBR的供水系统经济调度研究, 沈阳市科技进步二等奖(2007-2-32-3), 颁奖单位: 沈阳市人民政府, 获奖时间: 2007.12.

[8]     多水源给水系统一级调度模型及其算法研究, 2005年度工控及自动化领域优秀论文二等奖, 颁奖单位: 中国工控网、中国自动化学会, 获奖时间: 2006.01.