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Development and test run of civil engineering schedule acceleration model through ant colony optimization

The traditional scheduling tool Critical Path Method (CPM) exhibits limitations in computational insufficiency due to exhaustive enumeration. Ant Colony Optimization (ACO) was therefore applied as a metaheuristic inspired by the ants behavior in foraging activities. A model development team was form...

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Main Authors: Wang, C., Abdul-Rahman, H., Chow, P.S.
Format: Article
Published: Taylor & Francis 2016
Subjects:
TA Engineering (General). Civil engineering (General)
TH Building construction
Online Access:http://eprints.um.edu.my/17767/
http://dx.doi.org/10.3846/13923730.2014.945954
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spelling my.um.eprints.177672017-09-08T04:25:47Z http://eprints.um.edu.my/17767/ Development and test run of civil engineering schedule acceleration model through ant colony optimization Wang, C. Abdul-Rahman, H. Chow, P.S. TA Engineering (General). Civil engineering (General) TH Building construction The traditional scheduling tool Critical Path Method (CPM) exhibits limitations in computational insufficiency due to exhaustive enumeration. Ant Colony Optimization (ACO) was therefore applied as a metaheuristic inspired by the ants behavior in foraging activities. A model development team was formed among construction engineers, IT professionals, and Mathematicians to develop a schedule acceleration model by integrating ACO into CPM to ensure proper resources allocated on critical path. The developed model CSAM-ACO targets on schedule acceleration by allocating resources on the newly found critical path after two stages of computation. The trial run proved CSAM-ACO model more favorable compared with CPM. Taylor & Francis 2016 Article PeerReviewed Wang, C. and Abdul-Rahman, H. and Chow, P.S. (2016) Development and test run of civil engineering schedule acceleration model through ant colony optimization. Journal of Civil Engineering and Management, 22 (8). pp. 1009-1020. ISSN 1392-3730 http://dx.doi.org/10.3846/13923730.2014.945954 doi:10.3846/13923730.2014.945954
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
TH Building construction
spellingShingle TA Engineering (General). Civil engineering (General)
TH Building construction
Wang, C.
Abdul-Rahman, H.
Chow, P.S.
Development and test run of civil engineering schedule acceleration model through ant colony optimization
description The traditional scheduling tool Critical Path Method (CPM) exhibits limitations in computational insufficiency due to exhaustive enumeration. Ant Colony Optimization (ACO) was therefore applied as a metaheuristic inspired by the ants behavior in foraging activities. A model development team was formed among construction engineers, IT professionals, and Mathematicians to develop a schedule acceleration model by integrating ACO into CPM to ensure proper resources allocated on critical path. The developed model CSAM-ACO targets on schedule acceleration by allocating resources on the newly found critical path after two stages of computation. The trial run proved CSAM-ACO model more favorable compared with CPM.
format Article
author Wang, C.
Abdul-Rahman, H.
Chow, P.S.
author_facet Wang, C.
Abdul-Rahman, H.
Chow, P.S.
author_sort Wang, C.
title Development and test run of civil engineering schedule acceleration model through ant colony optimization
title_short Development and test run of civil engineering schedule acceleration model through ant colony optimization
title_full Development and test run of civil engineering schedule acceleration model through ant colony optimization
title_fullStr Development and test run of civil engineering schedule acceleration model through ant colony optimization
title_full_unstemmed Development and test run of civil engineering schedule acceleration model through ant colony optimization
title_sort development and test run of civil engineering schedule acceleration model through ant colony optimization
publisher Taylor & Francis
publishDate 2016
url http://eprints.um.edu.my/17767/
http://dx.doi.org/10.3846/13923730.2014.945954
_version_ 1643690513321164800
score 13.211869

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