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文献详情 >A New Method for Solving the C... 收藏
A New Method for Solving the Continuous Multi-Object Optimiz...

A New Method for Solving the Continuous Multi-Object Optimization Problems

作     者:HU Yefa1 CHENG Hao1 HU Xiaolin2 HUANG Zhangcan3 (1. School of Mechanical and Electrical Engineering Wuhan University of Technology Wuhan 430070 China) (2. Department of Automation & Computer-Aided Engineering The Chinese University of Hong Kong Hong Kong SAR China) (3. State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China) 

会议名称:《智能计算及其应用国际会议》

会议日期:2005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)] 

关 键 词:Neighborhood exploring evolution strategy multi-objective optimization evolutionary algorithm evolution strategy 

摘      要:In this paper, we proposed a new multi-object evolutionary algorithm (MOEA), neighborhood exploring evolutionary strategy (NEES), which focused on search operators to generate new individuals in MOEA.

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