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2015 | OriginalPaper | Chapter

Geometrically Nonlinear Analysis of Trusses Using Particle Swarm Optimization

Authors : Rasim Temür, Yusuf Sait Türkan, Yusuf Cengiz Toklu

Published in: Recent Advances in Swarm Intelligence and Evolutionary Computation

Publisher: Springer International Publishing

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Abstract

Particle swarm optimization (PSO) algorithm is a heuristic optimization technique based on colony intelligence, developed through inspiration from social behaviors of bird flocks and fish schools. It is widely used in problems in which the optimal value of an objective function is searched. Geometrically nonlinear analysis of trusses is a problem of this kind. The deflected shape of the truss where potential energy value is minimal is known to correspond to the stable equilibrium position of the system analyzed. The objective of this study is to explore the success of PSO using this minimum total potential energy principle, in finding good solutions to geometrically nonlinear truss problems. For this purpose analyses are conducted on three structures, two plane trusses and a space truss. The results obtained show that in case of using 20 or more particles, PSO produces very good and robust solutions.

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previous chapter Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm

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Title: Geometrically Nonlinear Analysis of Trusses Using Particle Swarm Optimization
Authors: Rasim Temür
Yusuf Sait Türkan
Yusuf Cengiz Toklu
Publisher: Springer International Publishing
Book: Recent Advances in Swarm Intelligence and Evolutionary Computation
Print ISBN: 978-3-319-13825-1

Electronic ISBN: 978-3-319-13826-8

Copyright Year: 2015
DOI: https://doi.org/10.1007/978-3-319-13826-8_15

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