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Article: Optimizing construction time and cost using ant colony optimization approach

TitleOptimizing construction time and cost using ant colony optimization approach
Authors
KeywordsOptimization
Project management
Time factors
Issue Date2008
PublisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.html
Citation
Journal Of Construction Engineering And Management, 2008, v. 134 n. 9, p. 721-728 How to Cite?
AbstractTime and cost are the most important factors to be considered in every construction project. In order to maximize the return, both the client and contractor would strive to optimize the project duration and cost concurrently. Over the years, many research studies have been conducted to model the time-cost relationships, and the modeling techniques range from the heuristic methods and mathematical approaches to genetic algorithms. Despite that, previous studies often assumed the time being constant leaving the analyses based purely on a single objective-cost. Acknowledging the significance of time-cost optimization, an evolutionary-based optimization algorithm known as ant colony optimization is applied to solve the multiobjective time-cost optimization problems. In this paper, the basic mechanism of the proposed model is unveiled. Having developed a program in the Visual Basic platform, tests are conducted to compare the performance of the proposed model against other analytical methods previously used for time-cost modeling. The results show that the ant colony system approach is able to generate better solutions without utilizing much computational resources which provides a useful means to support planners and managers in making better time-cost decisions efficiently. © 2008 ASCE.
Persistent Identifierhttp://hdl.handle.net/10722/58486
ISSN
2015 Impact Factor: 1.152
2015 SCImago Journal Rankings: 1.219
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorNg, STen_HK
dc.contributor.authorZhang, Yen_HK
dc.date.accessioned2010-05-31T03:31:17Z-
dc.date.available2010-05-31T03:31:17Z-
dc.date.issued2008en_HK
dc.identifier.citationJournal Of Construction Engineering And Management, 2008, v. 134 n. 9, p. 721-728en_HK
dc.identifier.issn0733-9364en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58486-
dc.description.abstractTime and cost are the most important factors to be considered in every construction project. In order to maximize the return, both the client and contractor would strive to optimize the project duration and cost concurrently. Over the years, many research studies have been conducted to model the time-cost relationships, and the modeling techniques range from the heuristic methods and mathematical approaches to genetic algorithms. Despite that, previous studies often assumed the time being constant leaving the analyses based purely on a single objective-cost. Acknowledging the significance of time-cost optimization, an evolutionary-based optimization algorithm known as ant colony optimization is applied to solve the multiobjective time-cost optimization problems. In this paper, the basic mechanism of the proposed model is unveiled. Having developed a program in the Visual Basic platform, tests are conducted to compare the performance of the proposed model against other analytical methods previously used for time-cost modeling. The results show that the ant colony system approach is able to generate better solutions without utilizing much computational resources which provides a useful means to support planners and managers in making better time-cost decisions efficiently. © 2008 ASCE.en_HK
dc.languageengen_HK
dc.publisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/co.htmlen_HK
dc.relation.ispartofJournal of Construction Engineering and Managementen_HK
dc.rightsJournal of Construction Engineering and Management. Copyright © American Society of Civil Engineers.en_HK
dc.subjectOptimizationen_HK
dc.subjectProject managementen_HK
dc.subjectTime factorsen_HK
dc.titleOptimizing construction time and cost using ant colony optimization approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0733-9364&volume=134&issue=9&spage=721&epage=728&date=2008&atitle=Optimizing+construction+time+and+cost+using+ant+colony+optimization+approachen_HK
dc.identifier.emailNg, ST:tstng@hkucc.hku.hken_HK
dc.identifier.authorityNg, ST=rp00158en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1061/(ASCE)0733-9364(2008)134:9(721)en_HK
dc.identifier.scopuseid_2-s2.0-49749102449en_HK
dc.identifier.hkuros161538en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-49749102449&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume134en_HK
dc.identifier.issue9en_HK
dc.identifier.spage721en_HK
dc.identifier.epage728en_HK
dc.identifier.eissn1943-7862-
dc.identifier.isiWOS:000258484100007-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNg, ST=7403358853en_HK
dc.identifier.scopusauthoridZhang, Y=24588349700en_HK

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