IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), volume 40, issue 1, pages 64-77

Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach

Publication typeJournal Article
Publication date2010-01-01
Computer Science Applications
Electrical and Electronic Engineering
Information Systems
Software
Control and Systems Engineering
Human-Computer Interaction
Abstract
The multimode resource-constrained project-scheduling problem with discounted cash flows (MRCPSPDCF) is important and challenging for project management. As the problem is strongly nondeterministic polynomial-time hard, only a few algorithms exist and the performance is still not satisfying. To design an effective algorithm for the MRCPSPDCF, this paper proposes an ant colony optimization (ACO) approach. ACO is promising for the MRCPSPDCF due to the following three reasons. First, MRCPSPDCF can be formulated as a graph-based search problem, which ACO has been found to be good at solving. Second, the mechanism of ACO enables the use of domain-based heuristics to accelerate the search. Furthermore, ACO has found good results for the classical single-mode scheduling problems. But the utility of ACO for the much more difficult MRCPSPDCF is still unexplored. In this paper, we first convert the precedence network of the MRCPSPDCF into a mode-on-node (MoN) graph, which becomes the construction graph for ACO. Eight domain-based heuristics are designed to consider the factors of time, cost, resources, and precedence relations. Among these heuristics, the hybrid heuristic that combines different factors together performs well. The proposed algorithm is compared with two different genetic algorithms (GAs), a simulated annealing (SA) algorithm, and a tabu search (TS) algorithm on 55 random instances with at least 13 and up to 98 activities. Experimental results show that the proposed ACO algorithm outperforms the GA, SA, and TS approaches on most cases.
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GOST Copy
Wei Neng Chen et al. Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach // IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 2010. Vol. 40. No. 1. pp. 64-77.
GOST all authors (up to 50) Copy
Wei Neng Chen, Jun Z., Chung H. S. H., Rui Zhang Huang, Ou Liu Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach // IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 2010. Vol. 40. No. 1. pp. 64-77.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1109/tsmcc.2009.2027335
UR - https://doi.org/10.1109/tsmcc.2009.2027335
TI - Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach
T2 - IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
AU - Wei Neng Chen
AU - Jun, Zhang
AU - Chung, H S H
AU - Rui Zhang Huang
AU - Ou Liu
PY - 2010
DA - 2010/01/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 64-77
IS - 1
VL - 40
SN - 1094-6977
SN - 1558-2442
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2010_Wei Neng Chen,
author = {Wei Neng Chen and Zhang Jun and H S H Chung and Rui Zhang Huang and Ou Liu},
title = {Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach},
journal = {IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)},
year = {2010},
volume = {40},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {jan},
url = {https://doi.org/10.1109/tsmcc.2009.2027335},
number = {1},
pages = {64--77},
doi = {10.1109/tsmcc.2009.2027335}
}
MLA
Cite this
MLA Copy
Wei Neng Chen, et al. “Optimizing Discounted Cash Flows in Project Scheduling—An Ant Colony Optimization Approach.” IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), vol. 40, no. 1, Jan. 2010, pp. 64-77. https://doi.org/10.1109/tsmcc.2009.2027335.
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