Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/52692
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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
1572-9338
Statement of
Responsibility: 
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; Hydropower; Hydroelectricity; Ant colony optimization; Constraints; Heuristics
Description: The original publication can be found at www.springerlink.com
Rights: © Springer Science+Business Media, LLC 2007
RMID: 0020080100
DOI: 10.1007/s10479-007-0277-y
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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