Chaotic swarming of particles: A new method for size optimization of truss structures

被引：99

作者：

Kaveh, A. ^{[1
]}

Sheikholeslami, R. ^{[2
]}

Talatahari, S. ^{[3
]}

Keshvari-Ilkhichi, M. ^{[2
]}

机构：

[1] Iran Univ Sci & Technol, Ctr Excellence Fundamental Studies Struct Engn, Tehran 16, Iran

[2] Amirkabir Univ Technol, Tehran Polytech, Dept Civil & Environm Engn, Tehran, Iran

[3] Univ Tabriz, Dept Civil Engn, Tabriz, Iran

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2014年 / 67卷

基金：

美国国家科学基金会;

关键词：

Meta-heuristic algorithm; Swarm intelligence; Particle swarm optimizer; Chaos theory; Truss structures; Size optimization; DESIGN OPTIMIZATION; ALGORITHM; STRATEGY; MODELS;

D O I：

10.1016/j.advengsoft.2013.09.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new combination of swarm intelligence and chaos theory is presented for optimal design of truss structures. Here the tendency to form swarms appearing in many different organisms and chaos theory has been the source of inspiration, and the algorithm is called chaotic swarming of particles (CSP). This method is a kind of multi-phase optimization technique which employs chaos theory in two phases, in the first phase it controls the parameter values of the particle swarm optimization (CPVPSO) and the second phase is utilized for local search (CLSPSO). Some truss structures are optimized using the CSP algorithm, and the results are compared to those of the other meta-heuristic algorithms showing the effectiveness of the new method. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：136 / 147

页数：12

共 39 条

[1] Uniform Big Bang-Chaotic Big Crunch optimization [J].