Hybrid Estimation of Distribution Algorithm Using Local Function Approximations

被引：2

作者：

Campelo, Felipe ^{[1
]}

Guimaraes, Frederico G. ^{[2
,3
]}

Ramirez, Jaime A. ^{[2
]}

Igarashi, Hajime ^{[1
]}

机构：

[1] Hokkaido Univ, Lab Hybrid Syst, Sapporo, Hokkaido 0600814, Japan

[2] Univ Fed Minas Gerais, Dept Engn Eletr, BR-31720010 Belo Horizonte, MG, Brazil

[3] Univ Fed Ouro Preto, Dept Computacao, BR-35400000 Ouro Preto, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2009年 / 45卷 / 03期

关键词：

Estimation of Distribution Algorithms (EDAs); hybrid methods; local learning; OPTIMIZATION;

D O I：

10.1109/TMAG.2009.2012741

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we introduce an approach for the design of electromagnetic devices based on the use of Estimation of Distribution Algorithms (EDAs), coupled with approximation-based local search around the most promising solutions. The-main idea is to combine the power of EDAs in the solution of hard optimization problems with the faster convergence provided by the local search using local approximations. The resulting hybrid, algorithm is tested on a numerical benchmark problem.

引用

页码：1558 / 1561

页数：4

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