Using Good Nodes Set Principle to Evolution Strategy for Constrained Optimization

作     者：Xiao Chixin1,2,Cai Zixing1 1.School of Information Science and Engineering,Central South University,Changsha 410083,P.R.China 2.Information Engineering College,Xiangtan University,Xiangtan 411105,P.R.China 

会议名称：《第二十六届中国控制会议》

会议日期：2007年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Nature Science Foundation of China under Grant No.60234030 and 60404023 National Basic Research Project under Grant No.415301001 Academician Foundation of Hunan Province under Grant No.06IJY3035 

关 键 词：Evolution Strategy Good Nodes Set Constrained Optimization Problems 

摘      要：Incorporating orthogonal design to enhance the crossover operator of the evolution strategy（ES）can make the re-sulting evolutionary algorithm more robust and statically *** its precision is restricted by dimension of search *** nodes set（GNS）is a concept in number *** paper presents a new evolution strategy that effectively combines GNS principle with crossover operator to handle constrained optimization problems（COPs）.The proposed method has achieved the same sound results as the orthogonal method does,but not to be restricted by the dimension of the *** simplex selected and diversity mechanism is used to enrich the exploration and exploitation abilities of the approach *** results on a set of benchmark problems show the efficiency of the algorithm.