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

    Chen Wang Affiliation
    ; Hamzah Abdul-Rahman Affiliation
    ; Pui See Chow Affiliation

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.


First published online: 27 Jan 2016

Keyword : Ant Colony Optimization (ACO), Critical Path Method (CPM), construction schedule acceleration, ACO algorithm, exhaustive enumeration

How to Cite
Wang, C., Abdul-Rahman, H., & 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), 1009-1020. https://doi.org/10.3846/13923730.2014.945954
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Nov 25, 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License.