文献类型：会议论文

英文题名：An multi-objective optimization method based on grey evaluation and genetic algorithms

作者：Kang, B; Wang, XY

机构：[1]E China Univ Sci & Technol, Shanghai 200237, Peoples R China

会议论文集：4th World Congress on Intelligent Control and Automation

会议日期：JUN 10-14, 2002

会议地点：SHANGHAI, PEOPLES R CHINA

语种：英文

外文关键词：grey relational clustering analysis; genetic algorithms(GA); multi-objective optimization

摘要：Solving multi-objective optimization problems in many real-world domains is complicated because of insufficient data, multi-objection and multi-measurement, etc. In this paper, a multi-objective grey optimization model is suggested to describe the situation and a new method, based on the grey relational clustering analysis and genetic algorithms (GA), is proposed to deal with the model. The simulation results demonstrate that the model is suitable and the method is effective.