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混合性能指标优化问题的分阶段进化优化 被引量：2

Phased Evolutionary Optimization for Problems with Hybrid Indices
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摘要 高维混合性能指标优化问题是普遍存在的,目前尚无有效的解决方法。提出一种解决该问题的分阶段进化优化方法。该方法根据性能指标的重要程度不同,将高维性能指标优化分为多个阶段,每一阶段只优化同层的性能指标;若性能指标间不是矛盾的,采用含权单目标进化优化方法求解;若性能指标间是矛盾的,采用Pareto进化优化方法求解。该方法可有效减轻用户疲劳,提高优化解的质量。在服装进化设计系统中的应用结果验证了方法的可行性和有效性。 Optimization problems with multi-dimensional hybrid indices exist widely, and there is no effective method to solve them up to now. A phased evolutionary optimization algorithm for the problems above was proposed. Optimization with multi-dimensional hybrid indices was divided into several phases according to different important degrees of index. Only indices in the same layer were optimized in each phase. If there was no conflict among different indices, method for weighted single-objective evolutionary optimization was adopted; Otherwise, Pareto evolutionary optimization was adopted. The algorithm proposed could alleviate user fatigue and improve the quality of optimal solutions effectively. The results of application in fashion design validate its feasibility and efficiency.
作者 巩敦卫 唐雷
机构地区 中国矿业大学信息与电气工程学院 中国科学技术大学自动化系
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2007年第21期4936-4939,共4页 Journal of System Simulation
基金 国家自然科学基金(60575046)
关键词 进化优化 混合性能指标 高维 阶段 evolutionary optimization hybrid indices multi-dimensional phase
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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参考文献9

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同被引文献15

  • 1周勇,巩敦卫,张勇.混合性能指标优化问题的进化优化方法及应用[J].控制与决策,2007,22(3):352-356. 被引量：8
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  • 3GONG Dunwei,JI Xinfang,LI Ming,et al.Adaptive evolutionary optimization algorithm for problems with hybrid indices[C]//Proceedings of Second World Congress on Nature and Biologically Inspired Computing,Fukuoka:IEEE,2010:335-340.
  • 4BRINTRUP A M,RAMSDEN J,TIWARI A.Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation[C]//Proceedings of IEEE Congress on Evolutionary Computation,[S.l.]:IEEE,2005:2154-2160.
  • 5KAMALIAN R,TAKAGI H,AGOGINO A M.Optimized design of MEMS by evolutionary multi-objective optimization with interactive evolutionary computation[C]//Proceedings of Genetic and Evolutionary Computation Conference,Berlin:Springer Berlin Heidelberg,2004:1030-1041.
  • 6GONG Dunwei,QIN Nana,SUN Xiaoyan.Evolutionary algorithms for optimization problems with uncertainties and hybrid indices[J].Information Sciences,2011,181(19):4124-4138.
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  • 9DEB K,SINHA A,KORHONEN P,WALLENIUS J.Aninteractive evolutionary multi-objective optimization method based on progressively approximated value functions[R].Technical Report Kangal Report No.2009005,Kanpur,India:Department of Mechanical Engineering,Indian Institute of Technology Kanpur,2009.
  • 10WANG Z J,LI K W,WANG W Z.An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights[J].Information Sciences,2009,179:3026-3040.

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系统仿真学报
2007年 第21期

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