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An Improved Particle Swarm Optimizer for Truss Structure Optimization.

Authors :
Carbonell, Jaime G.
Siekmann, Jörg
Yuping Wang
Yiu-ming Cheung
Hailin Liu
Lijuan Li
Zhibin Huang
Feng Liu
Source :
Computational Intelligence & Security (9783540743767); 2007, p1-10, 10p
Publication Year :
2007

Abstract

This paper presents an improved particle swarm optimizer (IPSO) for solving truss structure optimization problems. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC) and a harmony search (HS) scheme. It handles the problem-specified constraints using a ‘fly-back mechanism' method and the variables' constraints using the harmony search scheme. The IPSO is tested on a planar truss structure optimization problem and is compared with the PSO and the PSOPC algorithm respectively. The result shows that the IPSO method presented in this paper is able to accelerate the convergence rate effectively and has the fastest convergence rate among these three other algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540743767
Database :
Complementary Index
Journal :
Computational Intelligence & Security (9783540743767)
Publication Type :
Book
Accession number :
33421841
Full Text :
https://doi.org/10.1007/978-3-540-74377-4_1