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Title: A new implementation of population based incremental learning method for optimization studies in electromagnetics
Authors: Yang, S
Ho, SL 
Ni, G
Machado, JM
Wong, KF
Keywords: Algorithms
Learning systems
Numerical analysis
Issue Date: 2006
Publisher: IEEE
Source: IEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USA, p. 162 How to cite?
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. 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.
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