Distributed evolutionary algorithms inspired by membranes in solving continuous optimization problems

被引：0

作者：

Zaharie, Daniela ^{[1
]}

Ciobanu, Gabriel ^{[2
,3
]}

机构：

[1] West Univ Timisoara, Dept Comp Sci, Blvd V Parvan 4, Timisoara, Romania

[2] AI Cuza University, Fac Comp Sci, Iasi 700506, Romania

[3] Romanian Acad, Inst Comp Sci, Iasi 700505, Romania

来源：

MEMBRANE COMPUTING | 2006年 / 4361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：

In this paper we present an analysis of the similarities between distributed evolutionary algorithms and membrane systems. The correspondences between evolutionary operators and evolution rules and between communication topologies and policies in distributed evolutionary algorithms and membrane structures and communication rules in membrane systems are identified. As a result of this analysis we propose new strategies of applying the operators in evolutionary algorithms and new variants of distributed evolutionary algorithms. The behavior of these variants is numerically tested for some continuous optimization problems.

引用

页码：536 / +

页数：2

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