A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
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Data
2006-11-21
Autores
Yang, S. Y.
Ho, S. L.
Ni, G. Z.
Machado, José Márcio [UNESP]
Wong, K. F.
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Resumo
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. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of the newly Implemented algorithm. ©2006 IEEE.
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Palavras-chave
Algorithms, Learning systems, Numerical analysis, Optimization, Probability, Vectors, Multiple probability vectors, Population Based Incremental Learning (PBIL), Electromagnetism
Como citar
12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006.