Water cycle algorithm - A novel metaheuristic optimization method for solving constrained engineering optimization problems

被引：1196

作者：

Eskandar, Hadi ^{[2
]}

Sadollah, Ali ^{[1
]}

Bahreininejad, Ardeshir ^{[1
]}

Hamdi, Mohd ^{[1
]}

机构：

[1] Univ Malaya, Fac Engn, Kuala Lumpur 50603, Malaysia

[2] Semnan Univ, Fac Engn, Semnan, Iran

来源：

COMPUTERS & STRUCTURES | 2012年 / 110卷

关键词：

Water cycle algorithm; Metaheuristic; Global optimization; Constrained problems; Engineering design; Constraint handling; PARTICLE SWARM OPTIMIZATION; EVOLUTIONARY ALGORITHMS; DIFFERENTIAL EVOLUTION; DESIGN OPTIMIZATION; GENETIC ALGORITHMS; SEARCH;

D O I：

10.1016/j.compstruc.2012.07.010

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a new optimization technique called water cycle algorithm (WCA) which is applied to a number of constrained optimization and engineering design problems. The fundamental concepts and ideas which underlie the proposed method is inspired from nature and based on the observation of water cycle process and how rivers and streams flow to the sea in the real world. A comparative study has been carried out to show the effectiveness of the WCA over other well-known optimizers in terms of computational effort (measures as number of function evaluations) and function value (accuracy) in this paper. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：151 / 166

页数：16

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