Optimization of Adhesive-Bonded Fiber Glass Strip using Imperialist Competitive Algorithm

被引：10

作者：

Mozafari, Hamid ^{[1
]}

Abdi, Behzad ^{[1
]}

Ayob, Amran ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Mech Engn, Utm Skudai 81310, Johor, Malaysia

来源：

FIRST WORLD CONFERENCE ON INNOVATION AND COMPUTER SCIENCES (INSODE 2011) | 2012年 / 1卷

关键词：

Adhesive; Finite element method; Fiber-reinforced plastics; Imperialist competitive algorithm (ICA); Genetic algorithm (GA);

D O I：

10.1016/j.protcy.2012.02.036

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) in optimization of intermediate epoxy adhesive layer which is bonded between two dissimilar strips of material. The recently introduced ICA has demonstrated excellent capabilities such as faster convergence and better global optimum achievement. The results of ICA are finally compared with the Finite Element Method (FEM) and Genetic Algorithm (GA). In application, comparison shows the success of ICA for designing adhesive joints in composite materials.

引用

页码：194 / 198

页数：5

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