Please use this identifier to cite or link to this item:
https://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 |
DOI: | 10.1007/s10479-007-0277-y |
Published version: | http://dx.doi.org/10.1007/s10479-007-0277-y |
Appears in Collections: | Aurora harvest 7 Civil and Environmental Engineering publications Environment Institute publications |
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hdl_52692.pdf | Accepted version | 296.78 kB | Adobe PDF | View/Open |
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