An Improved Ant Colony Model for Cost Optimization of Composite Beams
This paper focused on the application and evaluation of an improved ant colony search method for the cost optimization of composite beams. The design was based on the American Institute of Steel Construction load and resistance factor design specifications and plastic design concepts. The objective...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2017-01-01
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Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2017.1296681 |
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author | Tahereh Korouzhdeh Hamid Eskandari-Naddaf Morteza Gharouni-Nik |
author_facet | Tahereh Korouzhdeh Hamid Eskandari-Naddaf Morteza Gharouni-Nik |
author_sort | Tahereh Korouzhdeh |
collection | DOAJ |
description | This paper focused on the application and evaluation of an improved ant colony search method for the cost optimization of composite beams. The design was based on the American Institute of Steel Construction load and resistance factor design specifications and plastic design concepts. The objective function for composite beam was the cost function. This function included the cost of concrete, steel beam, and shear connectors. In order to validate the proposed model in optimizing composite beam design, two design examples taken from the literature were studied, and the results were compared to the original ant colony optimization and other meta-heuristic algorithms. The results showed that the improved ant colony method was able to find better solutions and had higher convergence speed than other meta-heuristic algorithms. Moreover, a parametric study was conducted to investigate the effects of beam spans and loadings on the cost optimization of composite beams. |
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id | doaj.art-3037497f103244709b81adb0cae6e3b9 |
institution | Directory Open Access Journal |
issn | 0883-9514 1087-6545 |
language | English |
last_indexed | 2024-03-12T00:36:58Z |
publishDate | 2017-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Applied Artificial Intelligence |
spelling | doaj.art-3037497f103244709b81adb0cae6e3b92023-09-15T09:33:55ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452017-01-01311446310.1080/08839514.2017.12966811296681An Improved Ant Colony Model for Cost Optimization of Composite BeamsTahereh Korouzhdeh0Hamid Eskandari-Naddaf1Morteza Gharouni-Nik2Hakim Sabzevari UniversityHakim Sabzevari UniversityIran University of Science & TechnologyThis paper focused on the application and evaluation of an improved ant colony search method for the cost optimization of composite beams. The design was based on the American Institute of Steel Construction load and resistance factor design specifications and plastic design concepts. The objective function for composite beam was the cost function. This function included the cost of concrete, steel beam, and shear connectors. In order to validate the proposed model in optimizing composite beam design, two design examples taken from the literature were studied, and the results were compared to the original ant colony optimization and other meta-heuristic algorithms. The results showed that the improved ant colony method was able to find better solutions and had higher convergence speed than other meta-heuristic algorithms. Moreover, a parametric study was conducted to investigate the effects of beam spans and loadings on the cost optimization of composite beams.http://dx.doi.org/10.1080/08839514.2017.1296681 |
spellingShingle | Tahereh Korouzhdeh Hamid Eskandari-Naddaf Morteza Gharouni-Nik An Improved Ant Colony Model for Cost Optimization of Composite Beams Applied Artificial Intelligence |
title | An Improved Ant Colony Model for Cost Optimization of Composite Beams |
title_full | An Improved Ant Colony Model for Cost Optimization of Composite Beams |
title_fullStr | An Improved Ant Colony Model for Cost Optimization of Composite Beams |
title_full_unstemmed | An Improved Ant Colony Model for Cost Optimization of Composite Beams |
title_short | An Improved Ant Colony Model for Cost Optimization of Composite Beams |
title_sort | improved ant colony model for cost optimization of composite beams |
url | http://dx.doi.org/10.1080/08839514.2017.1296681 |
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