Abstract
Based on the background of traditional generator maintenance scheduling optimization model, the thesis has established one kind of new generator maintenance scheduling optimization model. As the fact that ant colony algorithm has the characteristic of slow convergence and easily falling into local optimum, by using fuzzy control rules, the thesis has improved the ant colony algorithm. This improved algorithm is applied to the proposed generator maintenance scheduling optimization model. As a result, simulation algorithms and models can achieve good results.
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Meng, X., Yue, Y., Shen, Z., Li, M. (2012). A New Optimized Generator Maintenance Model and Solution. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28658-2_28
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DOI: https://doi.org/10.1007/978-3-642-28658-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28657-5
Online ISBN: 978-3-642-28658-2
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