DE/isolated/1: A New Mutation Operator for Multimodal Optimization with Differential Evolution

被引：0

作者：

Otani, Takahiro ^{[1
]}

Suzuki, Reiji ^{[1
]}

Arita, Takaya ^{[1
]}

机构：

[1] Nagoya Univ, Grad Sch Informat Sci, Chikusa Ku, Nagoya, Aichi 4648601, Japan

来源：

AI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE | 2011年 / 7106卷

关键词：

differential evolution; multimodal optimization; niching;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new variant of differential evolution for multimodal optimization termed DE/isolated/1. It generates new individuals close to an isolated individual in a current population as a niching scheme. This mechanism will evenly allocate search resources for each optimum. The proposed method was evaluated along with the existing methods through computational experiments using eight two-dimensional multimodal functions as benchmarks. Experimental results show that the proposed method shows better performance for several functions which are not effectively solved by existing algorithms.

引用

页码：321 / 330

页数：10

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