基于偏好的交互多目标进化优化方法
摘要
结合决策者的偏好解决多目标优化问题,已成为进化计算领域的一个研究热点。本文综述基于偏好的多目标进化优化方法的相关工作,并提出进一步可研究的方向。
出处
《科技传播》
2012年第15期93-94,共2页
Public Communication of Science & Technology
参考文献14
-
1Branke J,Deb K,Miettinen K,Slowinski R. Multi-objective Optimization Interactive and Evolutionary Approaches (LNCS 5252)[M].Heidelberg:Springer-Verlag,2008. 被引量:1
-
2Zio E,Baraldi P,Pedroni N. Optimal power system generation scheduling by multi-objective genetic algorithms with preferences[J].Reliability Engineering & System Safety,2009,(02):432-444.doi:10.1016/j.ress.2008.04.004. 被引量:1
-
3Lee D.H,Kim K.J,Koksalan M. A posterior preference articulation approach to multiresponse surface optimization[J].European Journal of Operational Research,2011,(02):301-309. 被引量:1
-
4张华军,赵金,王瑞.最大化个人偏好的多目标优化进化算法[J].信息与控制,2010,39(2):212-217. 被引量:3
-
5Chen Z.H,Zhuang Z.Q,Huang F.H,Lee J.S. User-preference-oriented multi-objective optimization algorithm[A].2010.1045-1049. 被引量:1
-
6Chaudhuri S,Deb K. An interactive evolutionary multi-objective optimization and decision making procedure[J].Applied Soft Computing Journal,2010,(02):496-511. 被引量:1
-
7Rachmawati L,Srinivasan D. Incorporating the notion of relative importance of objectives in evolutionary multi-objective optimization[J].IEEE Transactions on Evolutionary Computation,2010,(04):530-546. 被引量:1
-
8Krettek J,Braun J,Hoffmann F,Bertram T.Ewald T.Schubert H.G.,Lausch H. Interactive evolutionary multi-objective optimization for hHydraulic valve controller parameters[A].2009.816-821. 被引量:1
-
9Battiti R,Passerini A. Brain computer evolutionary multiobjective optimization:A genetic algorithm adapting to the decision maker[J].IEEE Transactions on Evolutionary Computation,2010,(05):671-687. 被引量:1
-
10Deb K,Sinha A,Korhonen P,Wallenius J. An interactive evolutionary multi-objective optimization method based on progressively approximated value functions KanGAL Report Number 2009005[R].Kanpur Genetic Algorithms Laboratory,Department of Mechanical engineering,Indian Institue of Technology,Kanpur,India,2009. 被引量:1
二级参考文献23
-
1张卫华,赵铭军.指标无量纲化方法对综合评价结果可靠性的影响及其实证分析[J].统计与信息论坛,2005,20(3):33-36. 被引量:154
-
2Coello C A. Evolutionary multi-objective optimization: A historical view of the field[J]. IEEE Computational Intelligence Magazine, 2006, 1(1): 28-36. 被引量:1
-
3Zadeh L. Optimality and non-scalar-valued performance criteria[J]. IEEE Transactions on Automatic Control, 1963, 8(1): 59- 60. 被引量:1
-
4Keeney R L. Decisions with multiple objectives: Preferences and value tradeoffs[M]. Cambridge, UK: Cambridge University Press, 1976. 被引量:1
-
5Chen W, Wiecek M, Zhang J. Quality utility: A compromise programming approach to robust design[J]. Journal of Mechanical Design, 1999, 121(2): 179-187. 被引量:1
-
6Srinivas N, Deb K. Multiobjective optimization using nondom- inated sorting in genetic algorithms[J]. Evolutionary Computation, 1994, 2(3): 221-248. 被引量:1
-
7Horn J, Nafpliotis N, Goldberg D E. A niched Pareto genetic algorithm for multiobjective optimization[C]//Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence: vol.1. 1994: 82-87. 被引量:1
-
8Fonseca C M, Fleming P J. Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization[C]//The 5th International Conference on Genetic Algorithms. New York, USA: Springer, 1993: 416-423. 被引量:1
-
9Zitzler E, Thiele L. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach[J]. IEEE Transactions on Evolutionary Computation, 1999, 3(4): 257-271. 被引量:1
-
10Knowles J D, Come D W. Approximating the nondominated front using the Pareto archived evolution strategy[J]. Evolutionary Computation, 2000, 8(2): 149-172. 被引量:1
共引文献2
-
1张华军,赵金,罗慧,解相朋.基于个人偏好的多目标优化问题目标权重计算方法[J].控制与决策,2014,29(8):1471-1476. 被引量:8
-
2黄堃,郝思鹏,李燕菲,张小莲.基于三端口电力电子变压器的交直流混合微网分层多目标优化[J].电测与仪表,2019,56(17):53-59. 被引量:5
-
1唐云岚,赵青松,高妍方,陈英武.Pareto最优概念的多目标进化算法综述[J].计算机科学,2008,35(10):25-27. 被引量:20
-
2关志华.多目标进化算法研究初步[J].石家庄经济学院学报,2002,25(2):125-128. 被引量:1
-
3赵曙光,王宇平,杨万海,焦李成.基于多目标自适应遗传算法的逻辑电路门级进化方法[J].计算机辅助设计与图形学学报,2004,16(4):402-406. 被引量:10
-
4冯祖洪.一种从粗到细的改进型进化算法简介[J].现代电子技术,2001,24(6):67-68.
-
5方海恩,吕谋,袁一星,赵洪宾.基于多目标进化算法的供水系统优化运行研究[J].数学的实践与认识,2010,40(2):67-75.
-
6杨宏桥,甘仞初,刘玉树.基于Agent的物流系统仿真及进化算法研究[J].中国管理科学,2004,12(z1):383-387. 被引量:1
-
7王欣,阳春华,秦斌.棒线材轧制批量调度多目标混合优化[J].控制与决策,2006,21(9):996-1000. 被引量:8
-
8刘淳安,陈一虎.微粒群优化算法的研究现状与发展[J].海南大学学报(自然科学版),2006,24(3):256-260. 被引量:3
-
9林亭生,黄成玉.求解TSP问题的蚁群算法[J].科技资讯,2007,5(22):239-239.
-
10方昶,刘心报,裴军,刘林.基于顺序启发式进化算法的多目标一维下料问题[J].中国管理科学,2012,20(S1):94-100. 被引量:4