An efficient hybrid Particle Swarm and Swallow Swarm Optimization algorithm

被引：84
|
作者：
Kaveh, A. [1 ]
Bakhshpoori, T. [1 ]
Afshari, E. [1 ]
机构：
[1] Iran Univ Sci & Technol, Sch Civil Engn, Ctr Excellence Fundamental Struct Engn, Tehran 16, Iran
来源：
COMPUTERS & STRUCTURES | 2014年 / 143卷
基金：
美国国家科学基金会;
关键词：
Particle Swarm Optimization; Swallow Swarm Optimization; Hybrid metaheuristic algorithms; TRUSS STRUCTURES; SEARCH ALGORITHM; DESIGN;
D O I：
10.1016/j.compstruc.2014.07.012
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this article, search mechanisms of Swallow Swarm Optimization (SSO) are implemented in the framework of Particle Swarm Optimization (PSO) to form the Hybrid Particle Swallow Swarm Optimization (HPSSO) algorithm. The new algorithm is tested by solving eleven mathematical optimization problems and six truss weight minimization problems. HPSSO is compared to the standard PSO and some of its advanced variants. Optimization results demonstrate the efficiency of the proposed algorithm that outperforms the PSO variants taken as basis of comparison and is very competitive with other state-of-the-art metaheuristic optimization methods. Here, a good balance between global and local searches is achieved. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：40 / 59
页数：20
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