Adaptive and assortative mating scheme for evolutionary multi-objective algorithms

被引：0
|
作者：
Le, Khoi [1 ]
Landa-Silva, Dario [1 ]
机构：
[1] Univ Nottingham, Sch Comp Sci, Automated Scheduling Optimisat & Planning Res Grp, Nottingham NG7 2RD, England
来源：
ARTIFICIAL EVOLUTION | 2008年 / 4926卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We are interested in the role of restricted mating schemes in the context of evolutionary multi-objective algorithms. In this paper, we propose an adaptive assortative mating scheme that uses similarity in the decision space (genotypic assortative mating) and adapts the mating pressure as the search progresses. We show that this mechanism improves the performance of the simple evolutionary algorithm for multi-objective optimisation (SEAMO2) on the multiple knapsack problem.
引用
收藏
页码：172 / 183
页数：12
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