Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization

被引：178

作者：

Coelho, Leandro dos Santos ^{[1
]}

Mariani, Viviana Cocco ^{[2
]}

机构：

[1] Pontificia Univ Catolica Parana, Ind & Syst Engn Grad Program, PUCPR CCET PPGEPS, BR-80215901 Curitiba, Parana, Brazil

[2] Pontificia Univ Catolica Parana, Grad Program Mech Engn, PUCPR CCET PPGEPS, BR-80215901 Curitiba, Parana, Brazil

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2008年 / 34卷 / 03期

关键词：

metaheuristics; ant colony; chaos theory; mechanical design; chaotic sequences; continuous optimization;

D O I：

10.1016/j.eswa.2007.02.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent computational developments in ant colony systems have proved fruitful for transforming discrete domains of application into continuous ones. In this paper, new combinations of an ant colony inspired algorithm (ACA) and chaotic sequences (ACH) are employed in well-studied continuous optimization problems of engineering design. Two case studies are described and evaluated in this work. Our results indicate that ACA and ACH handle such problems efficiently in terms of precision and convergence and, in most cases, they outperform the results presented in the literature. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1905 / 1913

页数：9

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