马海平:绍兴文理学院数理信息学院副教授-中文百科频道

人物经历

学习经历

2016年11月-2017年11月，马海平教授在英国贝尔法斯特女王大学信息研究中心公派访问学者

2011年9月-2014年11月，马海平教授毕业于上海大学机自学院控制理论与控制工程专业，获得工学博士学位

2004年9月-2007年7月，马海平教授毕业于太原理工大学自动化学院控制理论与控制工程专业，获得工学硕士学位

2000年9月-2004年7月，马海平教授毕业于绍兴文理学院数理信息学院物理学专业，获得理学学士学位

工作经历

2021年1月-至今，马海平教授担任绍兴文理学院数理信息学院教授

2016年1月-2020年12月，马海平教授担任绍兴文理学院数理信息学院副教授

主要成就

科研成就

马海平教授主持浙江省自然科学基金项目——多系统优化方法及在电池充电策略设计中的应用研究（编号——LY19F030011），2019-01至2021-12

马海平教授主持国家自然科学基金项目——进化计算的演化机理分析及在大规模不确定优化中的应用研究（编号——61640316），2017-01至2017-12

马海平教授主持国家自然科学基金项目——生物地理学智能同步优化算法及其在下肢假肢中的应用研究（编号——61305078），2014-01至2016-12

马海平教授主持浙江省自然科学基金项目——岛屿生态学优化算法的关键技术及其在多关联复杂系统中的应用研究（编号——Y1090866），2010-01至2011-12

马海平教授主持绍兴市应用研究计划项目——网络化智能高端数字喷墨印花控制系统研制（编号——2013B70004），2013-01至2015-06

马海平教授参与国家自然科学基金项目——面向恶意程序传播的异质传感网可靠度评估和主动防御策略研究（编号——61772018），2018-01至2021-12

马海平教授参与国家自然科学基金项目——球面散乱数据建模的神经网络方法（编号——61179041），2012-01至2015-12

发明专利

马海平，潘张鑫，卢新祥，锂离子电池充电优化方法（专利号——ZL201810972256.7），2020.11.13

马海平，陆伟奇，一种通过多参数融合处理设备状态的方法和系统（专利号——ZL201510045301.0），2018.05.29

马海平，陆伟奇，叶森钢，数字印花机用墨色快速控制方法及其控制系统（专利号——ZL201510119601.9），2016.05.11

王春早，马海平，张斌，绝缘栅双极型晶体管（专利号——ZL 201410127688.X），2017.01.04

期刊论文

Haiping Ma*, Minrui Fei, Zheheng Jiang, LingLi, Huiyu Zhou, and Danny Crookes, “A multi-population based multi-objectiveevolutionary algorithm”, IEEETransactions on Cybernetics, 2020, 50 (2): 689-702

Haiping Ma*, Chao Sun, Jinglin Wang, ZhileYang and Huiyu Zhou, “Multi-system optimization for an integrated productionscheduling with resource saving problem in textile printing and dyeing”, Complexity,2020, Article ID: 8853735.

Haiping Ma*, Shigen Shen, Mei Yu, Zhile Yang,Minrui Fei, and Huiyu Zhou, “Multi-population techniques in nature inspiredoptimization algorithms: A comprehensive survey”, Swarm and Evolutionary Computation, 2019, 44: 365-387

Haiping Ma*, Dan Simon, Patrick Siarry, ZheliYang, and Minrui Fei, “Biogeography-based optimization: A 10-year review”, IEEE Transactions on Emerging Topics in ComputationalIntelligence, 2017, 1 (5): 391-407

Haiping Ma, Zhile Yang*, Pengcheng You, and Minrui Fei, “Multi-objectivebiogeography-based optimization for dynamic economic emission load dispatchconsidering plug-in electric vehicles charging”, Energy, 2017, 135: 101-111

Haiping Ma*, Sengang Ye, Dan Simon, andMinrui Fei, “Conceptual and numerical comparisons of swarm intelligence optimizationalgorithms”, Soft Computing, 2017, 21(11): 3081-3100

Haiping Ma*, Dan Simon, Minrui Fei and Hongwei Mo,“Interactive Markov models of optimization searchstrategies”, IEEE Transactions onSystems, Man, and Cybernetics: Systems, 2017, 47 (5): 808-825

Haiping Ma*, Dan Simon and Minrui Fei, “Statistical mechanics approximationof biogeography-based optimization”, EvolutionaryComputation, 2016, 24 (3): 427-458

Haiping Ma*, Minrui Fei, and Zhile Yang,“Biogeography-based optimization for identifying promising compounds inchemical process”, Neurocomputing,2016, 174: 494-499

Haiping Ma*, Shufei Su, Dan Simon, and Minrui Fei, “Ensemble multi-objective biogeography-basedoptimization with application to automated warehouse scheduling”, EngineeringApplications of Artificial Intelligence, 2015, 44: 79-90.

Haiping Ma*, Minrui Fei, Dan Simon, and Hongwei Mo , “Update-based evolutioncontrol: A new fitness approximation method for evolutionary algorithms”, Engineering Optimization, 2015, 47(9):1177-1190

Haiping Ma*, Minrui Fei, DanSimon, and Zixiang Chen, “Biogeography-based optimization in noisy environments”,Transactions of the Institute ofMeasurement and Control, 2015, 37(2): 190-204.

Haiping Ma*, Dan Simon, Minrui Fei, Xinzhan Shu, and Zixiang Chen, “Hybrid biogeography-basedevolutionary algorithms”, Engineering Applications of ArtificialIntelligence, 2014, 30: 213-224

Haiping Ma*, DanSimon, and Minrui Fei, “On the convergence of biogeography-based optimizationfor binary problems”, MathematicalProblems in Engineering, 2014, Article ID: 147457

Haiping Ma*, Minrui Fei, Zhile Yang, Haikuan Wang, “Wireless networked learningcontrol system based on Kalman filter and biogeography-based optimization method”,Transactions of the Institute ofMeasurement and Control, 2014, 36 (2): 224-236.

Haiping Ma*, Dan Simon, Minrui Fei, and Zixiang Chen, “On the equivalences anddifferences of evolutionary algorithms”, EngineeringApplications of Artificial Intelligence, 2013, 26 (10): 2397-2407.

Haiping Ma*, DanSimon, Minrui Fei and Zhikun Xie, “Variations of biogeography-based optimizationand Markov analysis”,Information Sciences, 2013, 220 (1): 492-506

Haiping Ma*, Xieyong Ruan and Zhangxin Pan, “Handling multiple objectives with biogeography-basedoptimization”, International Journal of Automationand Computing. 2012, 9 (1): 30-36

Haiping Ma* andDan Simon, “Analysisof migration models of biogeography-based optimization using Markov theory”, Engineering Applications of Artificial Intelligence, 2011, 24 (6): 1052-1060

Haiping Ma* and Dan Simon, “Blended biogeography-basedoptimization for constrained optimization”, EngineeringApplications of Artificial Intelligence, 2011, 24 (3): 517-525

Haiping Ma*, Xieyong Ruan and Zhangxin Pan, “Genetic interacting multiple modelalgorithm based on H∞filter for maneuvering target tracking”, International Journal of Control, Automation, and Systems, 2011, 9 (1):125-131.

Haiping Ma*, “An analysis of the equilibrium of migration models for biogeography-basedoptimization”, Information Sciences,2010, 180 (18): 3444-3464

Haiping Ma*,Xue Li, and ShengdongLin, “Analysis of migration rate models for biogeography-based optimization”, Journal of Southeast University (Natural Science Edition), 2009, 39 (S1):16-21

马海平，朱聪，母佳鑫，孙超，求解复杂耦合问题的多系统优化方法，控制理论与应用,，2020,37 (11) 2301-2310

马海平，李寰，阮谢永，一种群体迁移优化算法及性能分析，控制理论与应用,，2010, 27 (3)329-334

马海平，陈子栋，潘张鑫，一类基于物种迁移优化的进化算法，控制与决策， 2009, 24 (11)1620-1624

马海平，阮谢永，朱敏杰，金宝根，道路条件下车辆跟踪的鲁棒H∞滤波算法，电子学报，2008, 36 (12)2363-2366

马海平，陈子栋，一种基于H∞滤波的模糊变结构交互多模型算法，电子学报，2008, 36 (2)245-249

Yadong Yu, Haiping Ma*, MeiYu, Sengang Ye, and Xiaolei Chen, “Multi-population management in evolutionaryalgorithms and application to complex warehouse scheduling problems”, Complexity, 2018, Article ID: 4730957

Sengang Ye, Haiping Ma*,Sheng Xu, Wenqiang Yang and Minrui Fei, “An effective fireworks algorithm forwarehouse-scheduling problem”, Transactionsof the Institute of Measurement and Control, 2017, 39 (1): 75-85

Zheheng Jiang, Danny Crookes, Brian D. Green, Yunfeng Zhao, HaipingMa, Ling Li, Shengping Zhang, Dacheng Tao, and Huiyu Zhou, “Context-awaremouse behavior recognition using hidden Markov models”, IEEE Transactions onImage Processing, 2019, 28 (3): 1133-1148

Kailong Liu, Kang Li, HaipingMa, Jianhua Zhang, and Qiao Peng, “Multi-objective optimization of chargingpatterns for lithium-ion battery management”, Energy Conversion and Management, 2018, 159: 151-162

Zhile Yang, Kang Li, Yuanjun Guo, Haiping Ma, and Min Zheng, “Compactreal-valued teaching-learning based optimization with the applications toneural network training”, Knowledge-BasedSystems, 2018, 159: 51-62

Shigen Shen, Haiping Ma,En Fan, Keli Hu, Shui Yu, Jianhua, Liu, and Qiying Cao, “A non-cooperativenon-zero-sum game-based dependability assessment of heterogeneous WSNs withmalware diffusion”, Journal of Networkand Computer Applications, 2017, 91: 26-35

会议论文

Haiping Ma*, Pengcheng You, Kailong Liu, Zhile Yang, andMinrui Fei, “Optimal battery charging strategy based on complex systemoptimization”, 2017International Conference on Life System Modeling and Simulation &International Conference on Intelligent Computing for Sustainable Energy andEnvironment,Nanjing, China, 2017: 371-378

Haiping Ma*, Zhile Yang, Pengcheng You andMinrui Fei, “Complex system optimization for economic emission load dispatch”, 11th UKACC International Conference onControl, Belfast, UK, 2016: 1-6

Haiping Ma*, Minrui Fei, and Zhiguo Ding, “Biogeography-based optimization withensemble of migration models for global numerical optimization”, 2012 IEEE World Congress on ComputationalIntelligence (WCCI), Brisbane, Australia, 2012: 2981-2988

Haiping Ma*, Xieyong Ruan and Baogen Jin, “Oppositional ant colony optimizationalgorithm and its application to fault monitoring”, Proceedings of the 29th Chinese Control Conference, Beijing, China,2010: 1238-1242.

Haiping Ma* andDan Simon, “Biogeography-based optimization with blendedmigration for constrained optimization problems”, Proceedings of the Genetic and Evolutionary Computation Conference(GECCO), Portland Oregon ,USA , 2010: 417-418.

Haiping Ma*, Shengdong Lin andBaogen Jin, “Oppositional particle swarm optimizationalgorithm and its application to fault monitor”, Proceedings of the 2009 Chinese Conference on Pattern Recognition,Nanjing,China2009: 458-462

Haiping Ma*, Suhong Ni and ManSun, “Equilibrium species counts and migration modeltradeoffs for biogeography-based optimization”, Proceedings of the48th IEEEConference on Decision and Control and 28th Chinese Control Conference,Shanghai, China, 2009: 3306-3310