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

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

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Official URL: http://dx.doi.org/10.3846/13923730.2014.945954

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Ant Colony Optimization (ACO); Critical Path Method (CPM); Construction schedule acceleration; ACO algorithm; Exhaustive enumeration
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Divisions: Faculty of the Built Environment
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 08 Sep 2017 04:25
Last Modified: 08 Sep 2017 04:25
URI: http://eprints.um.edu.my/id/eprint/17767

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