文献类型：期刊文献

英文题名：A new multi-objective robust genetic algorithm and its application

作者：Ren, Jianfeng[1]; Li, Shuhong[1]; Yadong, Zhang[1]

第一作者：任剑锋

通讯作者：Ren, J.

机构：[1] Henan University Of Economics And Law, College of computer and Information Engineering, China

第一机构：河南财经政法大学计算机与信息工程学院

年份：2012

卷号：4

期号：1

起止页码：177-184

外文期刊名：Advances in Information Sciences and Service Sciences

收录：EI(收录号：20120614750468);Scopus(收录号：2-s2.0-84863012237)

语种：英文

外文关键词：Multiobjective optimization - Pareto principle

摘要：In this paper, we use the evolutionary algorithm as the optimization tool to find the robust Pareto-optimal solutions, although any other EMO algorithm can also be used. Various parameters which determine the extent and nature of shift of the mean front from the original front are (1)The extent of neighborhood (0) considered for each variable; (2)Number of neighboring points (H) used to compute the mean effective objectives. The robust measurement used in this paper is the mean of neighborhood of solution x. In order to measure robustness of solution x better, we can do some researches on robust measurement, which can measure robustness accurately.