Emerging Trends of Ant Colony Optimization in Project Scheduling |
Author(s): |
| Samir Thakkar , Department of Computer Applications, Faculty of Science, The Maharaja Sayajirao University of Baroda, Vadodara |
Keywords: |
| Project Scheduling, Ant Colony Optimization |
Abstract |
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Ant Colony Optimization technique as a swarm intelligence technique is based on stigmergy behavior of natural insects. ACO and its variants provided a futuristic and prominent result in the areas of optimization problems. The Paper discusses the Ant Colony Optimization problem. Paper describes ACO metaheuristics as a general framework for finding optimal solution. The paper discusses project scheduling measures and suggests the need of ACO in the other comprehensive areas related to project scheduling. It predicts and concludes with the remarks that ant colony optimization and its metaheuristics can be useful in more comprehensive project management tasks. |
Other Details |
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Paper ID: IJSRDV4I31620 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1757-1759 |
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