期刊
COMPUTERS & STRUCTURES
卷 85, 期 19-20, 页码 1579-1588出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2006.10.013
关键词
structural optimization; truss structures; particle swarms; constrained optimization; soft computing; stochastic optimization
This paper presents in detail the background and implementation of a particle swarm optimization algorithm suitable for constraint structural optimization tasks. Improvements, effect of the different setting parameters, and functionality of the algorithm are shown in the scope of classical structural optimization problems. The effectiveness of the approach is illustrated by three benchmark structural optimization tasks. Results show the ability of the proposed methodology to find better optimal solutions for structural optimization tasks than other optimization algorithms. (C) 2007 Elsevier Ltd. All rights reserved.
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