Optimization of cold-formed channel sections using imperialist competitive algorithm

The Imperialist Competitive Algorithm (ICA) is a novel computational method based on the concept of socio-political motivated strategy, which is usually used to solve different types of optimization problems. This paper presents the optimization of cold-formed channel section subjected to axial comp...

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Main Authors: Kohandel, Roya, Abdi, Behzad, Poi, Ngian Shek, Md. Tahir, M., Beng, Ahmad Hong Kueh
Format: Article
Published: Trans Tech Publications 2012
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Online Access:http://eprints.utm.my/id/eprint/47319/
http://dx.doi.org/10.4028/www.scientific.net/AMM.166-169.493
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spelling my.utm.473192019-03-05T02:03:27Z http://eprints.utm.my/id/eprint/47319/ Optimization of cold-formed channel sections using imperialist competitive algorithm Kohandel, Roya Abdi, Behzad Poi, Ngian Shek Md. Tahir, M. Beng, Ahmad Hong Kueh TA Engineering (General). Civil engineering (General) The Imperialist Competitive Algorithm (ICA) is a novel computational method based on the concept of socio-political motivated strategy, which is usually used to solve different types of optimization problems. This paper presents the optimization of cold-formed channel section subjected to axial compression force utilizing the ICA method. The results are then compared to the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) algorithm for validation purpose. The results obtained from the ICA method is in good agreement with the GA and SQP method in terms of weight but slightly different in the geometry shape. Trans Tech Publications 2012 Article PeerReviewed Kohandel, Roya and Abdi, Behzad and Poi, Ngian Shek and Md. Tahir, M. and Beng, Ahmad Hong Kueh (2012) Optimization of cold-formed channel sections using imperialist competitive algorithm. Applied Mechanics and Materials, 166-16 . pp. 493-496. ISSN 1660-9336 http://dx.doi.org/10.4028/www.scientific.net/AMM.166-169.493 DOI:10.4028/www.scientific.net/AMM.166-169.493
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Kohandel, Roya
Abdi, Behzad
Poi, Ngian Shek
Md. Tahir, M.
Beng, Ahmad Hong Kueh
Optimization of cold-formed channel sections using imperialist competitive algorithm
description The Imperialist Competitive Algorithm (ICA) is a novel computational method based on the concept of socio-political motivated strategy, which is usually used to solve different types of optimization problems. This paper presents the optimization of cold-formed channel section subjected to axial compression force utilizing the ICA method. The results are then compared to the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) algorithm for validation purpose. The results obtained from the ICA method is in good agreement with the GA and SQP method in terms of weight but slightly different in the geometry shape.
format Article
author Kohandel, Roya
Abdi, Behzad
Poi, Ngian Shek
Md. Tahir, M.
Beng, Ahmad Hong Kueh
author_facet Kohandel, Roya
Abdi, Behzad
Poi, Ngian Shek
Md. Tahir, M.
Beng, Ahmad Hong Kueh
author_sort Kohandel, Roya
title Optimization of cold-formed channel sections using imperialist competitive algorithm
title_short Optimization of cold-formed channel sections using imperialist competitive algorithm
title_full Optimization of cold-formed channel sections using imperialist competitive algorithm
title_fullStr Optimization of cold-formed channel sections using imperialist competitive algorithm
title_full_unstemmed Optimization of cold-formed channel sections using imperialist competitive algorithm
title_sort optimization of cold-formed channel sections using imperialist competitive algorithm
publisher Trans Tech Publications
publishDate 2012
url http://eprints.utm.my/id/eprint/47319/
http://dx.doi.org/10.4028/www.scientific.net/AMM.166-169.493
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score 13.160551