A new implementation of population based incremental learning method for optimizations in electromagnetics
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Undergraduate course
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Institute of Electrical and Electronics Engineers (IEEE)
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Article
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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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Keywords
genetic algorithm (GA), global optimization, inverse problem, population based incremental learning (PBIL) method
Language
English
Citation
IEEE Transactions on Magnetics. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 43, n. 4, p. 1601-1604, 2007.
