参考文献
[1]Reza T M,Alireza R V,Ali H M.A Hybrid Multi-objective Immune Algorithm for a Flow Shop Scheduling Problem with Bi-objectives:Weighted Mean Completion Time and Weighted Mean Tardiness[J].Information Sciences,2007,177(22):5072-5090.
[2]Romeu M V,Humberto M J,Luís P N.Multi-objective Optimization Using NSGA-II for Power Distribution System Reconfiguration[J].International Transactions on Electrical Energy Systems,2015,25(1):38-53.
[3]Huang Ronghwa,Yang Linchang.Solving a Multi-objective Overlapping Flow-shop Scheduling[J].International Journal of Advanced Manufacturing Technology,2009,42(9):955-962.
[4]Periklis A.Hierarchies for Classes of Priority Algorithms for Job Scheduling[J].Theoretical Computer Science,2006,352(3):181-189.
[5]Qian Bin,Wang Ling,Hu Rong,et al.A Hybrid Differential Evolution Method for Permutation Flow-shop Scheduling[J].International Journal of Advanced Manufacturing Technology,2008,38(7):757-777.
[6]Zhang Xiaohua,Meng Hongyun,Cheng Jiaoli.Intelligent Particle Swarm Optimization in Multi-objective Optimiza-tion[C]//Proceedings of IEEE Congress on Evolutionary Computation.Washington D.C.,USA:IEEE Press,2005:714-719.
[7]卫忠,徐晓飞,邓胜春.多目标混合流水车间作业调度的演化算法[J].计算机集成制造系统,2006,12(8):1227-1234.
[8]Kaliszewski I,Miroforidis J,Podkopaev D.Interactive Multiple Criteria Decision Making Based on Preference Driven Evolutionary Multi-objective Optimization with Controllable Accuracy[J].European Journal of Opera-tional
Research,2012,216(1):188-199.
[9]Jaszkiewicz A.Genetic Local Search for Multi-objective Combinatorial Optimization[J].European Journal of Operational Research,2002,137(1):50-71.
[10]Dadid M C,Cihan H D.Computational Complexity Measures for Many-objective Optimization Problems[J].Procedia Computer Science,2014,36(3):185-191.
[11]Benedetti A,Farina M,Gobbi M.Evolutionary Multi-objective Industrial Design:The Case of a Racing Car Tire Suspension System[J].IEEE Transactions on Evolutionary Computation,2006,10(3):230-244.
[12]吴成茂.基于关联熵系数的图像分割新算法[J].西安邮电学院学报,2007,12(1):76-79.
[13]苗夺谦,魏莱,徐菲菲.粗糙模糊集的关联熵与关联熵系数[J].同济大学学报,2007,35(7):790-794.
[14]Liang Decui,Liu Dun,Pedrycz W,et al.Triangular Fuzzy Decision-theoretic Rough Sets[J].International Journal of Approximate Reasoning,2013,54(8):1087-1106.
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(上接第190页)
[15]Zhou Lei,Wu Weizhi.Characterization of Rough Set Approximations in Atanassov Intuitionistic Fuzzy Set Theory[J].Computers & Mathematics with Applications,2011,62(1):282-296.
[16]张继国,Singh V P.信息熵理论与应用[M].北京:中国水利水电出版社,2012.
[17]陈晓红,戴子敬,刘翔.基于熵和关联系数的区间直觉模糊决策方法[J].系统工程与电子技术,2013,35(4):791-795.
[18]Qian Bin,Wang Ling,Huang Dexian,et al.An Effective Hybrid DE-based Algorithm for Multi-objective Flow Shop Scheduling with Limited Buffers[J].Computers and Operations Research,2009,36(1):209-233.
[19]朱光宇,陈旭斌,刘艳立.基于灰熵关联分析的流水车间多目标调度优化及算法实现[J].控制与决策,2014,29(1):135-140.
[20]刘淳安.动态多目标优化进化算法及其应用[M].北京:科学出版社,2011.
[21]Nowicki E.The Permutation Flow Shop with Buffers:A Tabu Search Approach[J].European Journal of Operational Research,1999,116(1):205-219.
[22]Bosman P A N,Thierens D.The Balance Between Proximity and Diversity in Multi-objective Evolutionary Algorithms[J].IEEE Transactions on Evolutionary Computation,2003,7(2):174-188.
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