Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/850
Title: A new implementation of population based incremental learning method for optimizations in electromagnetics
Authors: Yang, Shiyou
Ho, Siu-lau
Ni, Guangzheng
Machado, José Márcio
Wong, K. F.
Subjects: Genetic algorithm (GA)
Global optimization
Inverse problem
Population based incremental learning (PBIL) method
Issue Date: Apr-2007
Publisher: IEEE
Source: IEEE transactions on magnetics, Apr. 2007, v. 43, no. 4, p. 1601-1604.
Abstract: To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. The strategy for updating those probability vectors and the negative learning and mutation operators are thus re-defined correspondingly. Moreover, to strike the best tradeoff between exploration and exploitation searches, an adaptive updating strategy for the learning rate is designed. Numerical examples are reported to demonstrate the pros and cons of the newly implemented algorithm.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/850
DOI: 10.1109/TMAG.2006.892112
ISSN: 0018-9464
Appears in Collections:EE Journal/Magazine Articles

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