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Type: Journal article
Title: Ant colony optimization for power plant maintenance scheduling optimization - a five-station hydropower system
Author: Foong, W.
Simpson, A.
Maier, H.
Stolp, S.
Citation: Annals of Operations Research, 2008; 159(1):433-450
Publisher: Kluwer Academic Publishers
Issue Date: 2008
ISSN: 0254-5330
Statement of
Wai Kuan Foong, Angus R. Simpson, Holger R. Maier and Stephen Stolp
Abstract: A number of algorithms have been developed for the optimization of power plant maintenance schedules. However, the true test of such algorithms occurs when they are applied to real systems. In this paper, the application of an Ant Colony Optimization formulation to a hydropower system is presented. The formulation is found to be effective in handling various constraints commonly encountered in practice. Overall, the results obtained using the ACO formulation are better than those given by traditional methods using engineering judgment, which indicates the potential of ACO in solving realistic power plant maintenance scheduling problems.
Keywords: Power plant maintenance scheduling
Ant colony optimization
Description: The original publication can be found at
Rights: © Springer Science+Business Media, LLC 2007
DOI: 10.1007/s10479-007-0277-y
Published version:
Appears in Collections:Aurora harvest 7
Civil and Environmental Engineering publications
Environment Institute publications

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