Development and Test Run of Civil Engineering Schedule Acceleration Model Through Ant Colony Optimization
Author(s): |
Chen Wang
Hamzah Abdul-Rahman Pui See Chow |
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Medium: | journal article |
Language(s): | Latvian |
Published in: | Journal of Civil Engineering and Management, November 2016, n. 8, v. 22 |
Page(s): | 1009-1020 |
DOI: | 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. |
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10354400 - Published on:
13/08/2019 - Last updated on:
13/08/2019