DEMO: Differential evolution for multiobjective optimization

被引：0
|
作者：
Robic, T [1 ]
Filipic, B [1 ]
机构：
[1] Jozef Stefan Inst, Dept Intelligent Syst, SI-1000 Ljubljana, Slovenia
来源：
EVOLUTIONARY MULTI-CRITERION OPTIMIZATION | 2005年 / 3410卷
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Differential Evolution (DE) is a simple but powerful evolutionary optimization algorithm with many successful applications. In this paper we propose Differential Evolution for Multiobjective Optimization (DEMO) - a new approach to multiobjective optimization based on DE. DEMO combines the advantages of DE with the mechanisms of Pareto-based ranking and crowding distance sorting, used by state-of-the-art evolutionary algorithms for multiobjective optimization. DEMO is implemented in three variants that achieve competitive results on five ZDT test problems.
引用
收藏
页码：520 / 533
页数：14
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