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基于梯度拥挤度的多样性保持策略的MOEA
引用本文:熊盛武,祁薇熹,张露.基于梯度拥挤度的多样性保持策略的MOEA[J].武汉理工大学学报(信息与管理工程版),2008,30(5).
作者姓名:熊盛武  祁薇熹  张露
作者单位:武汉理工大学,计算机科学与技术学院,湖北,武汉,430070
摘    要:为了在多目标演化算法解决问题时保证解集的多样性,提出了一个有效的梯度拥挤度多样性保持策略,以及基于该保持策略的多目标演化算法;设计了多样性的熵度量准则,以及多样化种群初始策略.实验证明,提出的算法在种群多样性保持方面取得了较好的效果.

关 键 词:多目标演化算法  多样性保持策略  熵度量

MOEA Algorithm Based on the Improved Diversity Maintenance Strategy
XIONG Shengwu,QI Weixi,ZHANG Lu.MOEA Algorithm Based on the Improved Diversity Maintenance Strategy[J].Journal of Wuhan University of Technology(Information & Management Engineering),2008,30(5).
Authors:XIONG Shengwu  QI Weixi  ZHANG Lu
Affiliation:XIONG Shengwu,QI Weixi,ZHANG LuXIONG Shengwu: Prof.,School of Computer Science , Technology,WUT,Wuhan 430070,China.
Abstract:An efficient method for pruning non-dominated set and a multi-objective evolutionary algorithm were proposed in order to maintain the population diversity.The entropy metrics for testing the population diversity as well as the diversity initial population strategy were proposed.The experiment results show that the algorithm is effective in diversity maintenance
Keywords:multi-objective evolutionary algorithm  diversity maintenance strategy  entropy metrics  
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