电子学报2017，Vol.45Issue(10)：2343-2347,5.DOI:10.3969/j.issn.0372-2112.2017.10.005
一种基于双空间密度的多目标进化算法
A Two-Space-Density Based Multi-objective Evolutionary Algorithm for Multi-objective Optimization
摘要
Abstract
Most of the evolutionary algorithm researches related to diversity maintenance scheme are dedicated to the diversity of objective space and ignore the diversity of decision space.This arrangement could lead to excessive diversity in the objective space but poor diversity in the decision space.To address this issue,this paper proposes a two-space-density based multi-objective evolutionary algorithm.Two-space-density is defined to reflect the diversity in both the objective space and the decision space.Based on two-space-density,TSD-mating selection is presented to balance the convergence and the diversity of population;TSD-selection is designed to fully explore the objective space and the decision space.The experimental results show that our algorithm performs competitively against the chosen state-of-the-art designs.关键词
人工智能/进化算法/空间密度/决策空间/目标空间Key words
artificial intelligence/evolutionary algorithm/space density/decision space/objective space分类
信息技术与安全科学引用本文复制引用
王鹏,张长胜,张斌,吴嘉轩,刘婷婷..一种基于双空间密度的多目标进化算法[J].电子学报,2017,45(10):2343-2347,5.基金项目
国家自然科学基金(No.61572116,No.61572117,No.61502089) （No.61572116,No.61572117,No.61502089）
国家关键科技研发基金(No.2015BAH09F02) （No.2015BAH09F02）
中央高校东北大学基本科研专项基金(No.N150408001,No.N150404009) （No.N150408001,No.N150404009）
