NEW PROGRESSES AND PROSPECT OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM

摘要：

Solving multi-objective optimization problem using evolutionary algorithm has attracted much attentions and the great progresses have been made in the past decades. The whole history of the research on multi-objective evolutionary algorithm (MOEA) is divided into three periods. After the features of the researches of MOEA and the research achievements are briefly reviewed, the new progresses of MOEA are described in detail since 2003. The various strategies such as co-evolution, parallel implementation and the dynamic evolution have been introduced into MOEA. Finally, the prospects of MOEA in the future are discussed.

关键词： Evolutionary algorithm Multi-objective optimization

作者: YOU-LIAN ZHENG DE-MING LEI

作者单位: School of mathematic and computer science, Hubei University School of Automation, Wuhan University of Technology

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 962-968

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）