Mixed variable structural optimization using Firefly Algorithm

被引：565

作者：

Gandomi, Amir Hossein ^{[1
]}

Yang, Xin-She ^{[2
]}

Alavi, Amir Hossein ^{[3
]}

机构：

[1] Univ Akron, Dept Civil Engn, Akron, OH 44325 USA

[2] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England

[3] Iran Univ Sci & Technol, Sch Civil Engn, Tehran, Iran

来源：

COMPUTERS & STRUCTURES | 2011年 / 89卷 / 23-24期

关键词：

Metaheuristic optimization; Firefly Algorithm; Mixed continuous-discrete variable problems; Structural optimization; HARMONY SEARCH ALGORITHM; GENETIC ALGORITHMS; OPTIMAL-DESIGN; EVOLUTIONARY; SIMULATION; INTEGER;

D O I：

10.1016/j.compstruc.2011.08.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

In this study, a recently developed metaheuristic optimization algorithm, the Firefly Algorithm (FA), is used for solving mixed continuous/discrete structural optimization problems. FA mimics the social behavior of fireflies based on their flashing characteristics. The results of a trade study carried out on six classical structural optimization problems taken from literature confirm the validity of the proposed algorithm. The unique search features implemented in FA are analyzed, and their implications for future research work are discussed in detail in the paper. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：2325 / 2336

页数：12

共 55 条

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A socio-behavioural simulation model for engineering design optimization [J].