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

    Chen Wang Info
    Hamzah Abdul-Rahman Info
    Pui See Chow Info
DOI: https://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.

First published online: 27 Jan 2016

Keywords:

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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November 25, 2016
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2016-11-25

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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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