馬海平:紹興文理學院數理信息學院副教授-中文百科頻道

人物經曆

學習經曆

2016年11月-2017年11月，馬海平教授在英國貝爾法斯特女王大學信息研究中心公派訪問學者

2011年9月-2014年11月，馬海平教授畢業于上海大學機自學院控制理論與控制工程專業，獲得工學博士學位

2004年9月-2007年7月，馬海平教授畢業于太原理工大學自動化學院控制理論與控制工程專業，獲得工學碩士學位

2000年9月-2004年7月，馬海平教授畢業于紹興文理學院數理信息學院物理學專業，獲得理學學士學位

工作經曆

2021年1月-至今，馬海平教授擔任紹興文理學院數理信息學院教授

2016年1月-2020年12月，馬海平教授擔任紹興文理學院數理信息學院副教授

主要成就

科研成就

馬海平教授主持浙江省自然科學基金項目——多系統優化方法及在電池充電策略設計中的應用研究（編号——LY19F030011），2019-01至2021-12

馬海平教授主持國家自然科學基金項目——進化計算的演化機理分析及在大規模不确定優化中的應用研究（編号——61640316），2017-01至2017-12

馬海平教授主持國家自然科學基金項目——生物地理學智能同步優化算法及其在下肢假肢中的應用研究（編号——61305078），2014-01至2016-12

馬海平教授主持浙江省自然科學基金項目——島嶼生态學優化算法的關鍵技術及其在多關聯複雜系統中的應用研究（編号——Y1090866），2010-01至2011-12

馬海平教授主持紹興市應用研究計劃項目——網絡化智能高端數字噴墨印花控制系統研制（編号——2013B70004），2013-01至2015-06

馬海平教授參與國家自然科學基金項目——面向惡意程序傳播的異質傳感網可靠度評估和主動防禦策略研究（編号——61772018），2018-01至2021-12

馬海平教授參與國家自然科學基金項目——球面散亂數據建模的神經網絡方法（編号——61179041），2012-01至2015-12

發明專利

馬海平，潘張鑫，盧新祥，锂離子電池充電優化方法（專利号——ZL201810972256.7），2020.11.13

馬海平，陸偉奇，一種通過多參數融合處理設備狀态的方法和系統（專利号——ZL201510045301.0），2018.05.29

馬海平，陸偉奇，葉森鋼，數字印花機用墨色快速控制方法及其控制系統（專利号——ZL201510119601.9），2016.05.11

王春早，馬海平，張斌，絕緣栅雙極型晶體管（專利号——ZL 201410127688.X），2017.01.04

期刊論文

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

馬海平，朱聰，母佳鑫，孫超，求解複雜耦合問題的多系統優化方法，控制理論與應用,，2020,37 (11) 2301-2310

馬海平，李寰，阮謝永，一種群體遷移優化算法及性能分析，控制理論與應用,，2010, 27 (3)329-334

馬海平，陳子棟，潘張鑫，一類基于物種遷移優化的進化算法，控制與決策， 2009, 24 (11)1620-1624

馬海平，阮謝永，朱敏傑，金寶根，道路條件下車輛跟蹤的魯棒H∞濾波算法，電子學報，2008, 36 (12)2363-2366

馬海平，陳子棟，一種基于H∞濾波的模糊變結構交互多模型算法，電子學報，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

會議論文

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