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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Main Authors: Tahereh Korouzhdeh, Hamid Eskandari-Naddaf, Morteza Gharouni-Nik
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
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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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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