Citation
Ant colony optimization for power plant maintenance scheduling optimization—a five-station hydropower system. Annals of Operations Research, 159 (1): 433-450, 2008.
Selected
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.
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Bibtex
@ARTICLE{2008-433-450-SI, author = {W. Kuan Foong and A. R. Simpson and H. R. Maier and S. Stolp},
title = {Ant colony optimization for power plant maintenance scheduling optimization—a five-station hydropower system},
journal = {Annals of Operations Research},
year = {2008},
volume = {159},
pages = {433--450},
number = {1},
note = {Selected},
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.},
doi = {10.1007/s10479-007-0277-y},
owner = {user},
timestamp = {2012.05.25} }