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Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach.
- Source :
- IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews; Jan2010, Vol. 40 Issue 1, p64-77, 14p
- Publication Year :
- 2010
-
Abstract
- The article focuses on ant colony optimization (ACO) for an efficient algorithm for multimode resource-constrained project-scheduling problem with discounted cash flows (MRCPSPDCF). It says that ACO is significant for MRCPSPDCF due to the ability of MRCPSPDCF to be a graph-based search problem. A conversion of precedence network of MRCPSPDCF to a mode-on-node (MoN) graph to be the ACO construction graph was conducted. Experiments show that ACO exceeds genetic and simulated annealing algorithms.
Details
- Language :
- English
- ISSN :
- 10946977
- Volume :
- 40
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics: Part C - Applications & Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 47874063
- Full Text :
- https://doi.org/10.1109/TSMCC.2009.2027335