Development and test run of civil engineering schedule acceleration model through ant colony optimization
| Autor: | Chen Wang, Hamzah Abdul-Rahman, Pui See Chow |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Journal of Civil Engineering and Management, Vol 22, Iss 8 (2016) |
| Druh dokumentu: | article |
| ISSN: | 13923730 1392-3730 1822-3605 |
| DOI: | 10.3846/13923730.2014.945954 |
| Popis: | 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 |
| Databáze: | Directory of Open Access Journals |
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