Mine blast algorithm for optimization of truss structures with discrete variables

被引：175
|
作者：
Sadollah, Ali [1 ]
Bahreininejad, Ardeshir [1 ]
Eskandar, Hadi [2 ]
Hamdi, Mohd [1 ]
机构：
[1] Univ Malaya, Fac Engn, Kuala Lumpur 50603, Malaysia
[2] Semnan Univ, Dept Mech Engn, Semnan, Iran
来源：
COMPUTERS & STRUCTURES | 2012年 / 102卷
关键词：
Optimization; Mine blast algorithm; Truss structures; Discrete variables; Metaheuristic; PARTICLE SWARM OPTIMIZER; GENETIC ALGORITHMS; HEURISTIC ALGORITHM;
D O I：
10.1016/j.compstruc.2012.03.013
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this study a novel optimization method is presented, the so called mine blast algorithm (MBA). The fundamental concepts and ideas of MBA are derived from the explosion of mine bombs in real world. The efficiency of the proposed optimizer is tested via the optimization of several truss structures with discrete variables and its performance is compared with several well-known metaheuristic algorithms. The results show that MBA is able to provide faster convergence rate and also manages to achieve better optimal solutions compared to other efficient optimizers. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：49 / 63
页数：15
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