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Article: An ant colony system based decision support system for construction time-cost optimization

TitleAn ant colony system based decision support system for construction time-cost optimization
Authors
KeywordsAnalytical method
Ant colony systems
Computational resources
Construction projects
Construction time
Issue Date2012
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/toc/tcem20/current
Citation
Journal of Civil Engineering and Management, 2012, v. 18 n. 4, p. 580-589 How to Cite?
AbstractTime and cost are the two most important factors to be considered in every construction project. In order to maximize the profit, both the client and contractor would strive to minimize the project duration and cost concurrently. In the past, most of the research studies related to construction time and cost assumed time to be constant, leaving the analyses based purely on a single objective of cost. Acknowledging this limitation, an evolutionary-based optimization algorithm known as an ant colony system is applied in this study to solve the multi-objective time-cost optimization problems. In this paper, a model is developed using Visual Basic for Application which is integrated with Microsoft Project. Through a test study, the performance of the proposed model is compared against other analytical methods previously used for time-cost modeling. The results show that the model based on the ant colony system techniques can generate better solutions without utilizing excessive computational resources. The model, therefore, provides an efficient means to support planners and managers in making better time-cost decisions efficiently. © 2012 Copyright Vilnius Gediminas Technical University (VGTU) Press Technika.
Persistent Identifierhttp://hdl.handle.net/10722/159429
ISSN
2015 Impact Factor: 1.53
2015 SCImago Journal Rankings: 0.907
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_US
dc.contributor.authorNg, STen_US
dc.date.accessioned2012-08-16T05:49:52Z-
dc.date.available2012-08-16T05:49:52Z-
dc.date.issued2012en_US
dc.identifier.citationJournal of Civil Engineering and Management, 2012, v. 18 n. 4, p. 580-589en_US
dc.identifier.issn1392-3730-
dc.identifier.urihttp://hdl.handle.net/10722/159429-
dc.description.abstractTime and cost are the two most important factors to be considered in every construction project. In order to maximize the profit, both the client and contractor would strive to minimize the project duration and cost concurrently. In the past, most of the research studies related to construction time and cost assumed time to be constant, leaving the analyses based purely on a single objective of cost. Acknowledging this limitation, an evolutionary-based optimization algorithm known as an ant colony system is applied in this study to solve the multi-objective time-cost optimization problems. In this paper, a model is developed using Visual Basic for Application which is integrated with Microsoft Project. Through a test study, the performance of the proposed model is compared against other analytical methods previously used for time-cost modeling. The results show that the model based on the ant colony system techniques can generate better solutions without utilizing excessive computational resources. The model, therefore, provides an efficient means to support planners and managers in making better time-cost decisions efficiently. © 2012 Copyright Vilnius Gediminas Technical University (VGTU) Press Technika.-
dc.languageengen_US
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/toc/tcem20/currenten_US
dc.relation.ispartofJournal of Civil Engineering and Managementen_US
dc.subjectAnalytical method-
dc.subjectAnt colony systems-
dc.subjectComputational resources-
dc.subjectConstruction projects-
dc.subjectConstruction time-
dc.titleAn ant colony system based decision support system for construction time-cost optimizationen_US
dc.typeArticleen_US
dc.identifier.emailZhang, Y: yanshuai@graduate.hku.hken_US
dc.identifier.emailNg, ST: tstng@hkucc.hku.hk-
dc.identifier.authorityNg, TST=rp00158en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3846/13923730.2012.704164-
dc.identifier.scopuseid_2-s2.0-84866362979-
dc.identifier.hkuros204747en_US
dc.identifier.volume18en_US
dc.identifier.issue4en_US
dc.identifier.spage580en_US
dc.identifier.epage589en_US
dc.identifier.eissn1822-3605-
dc.identifier.isiWOS:000308808200013-
dc.publisher.placeUnited Kingdom-

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