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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1102

Title: A new implementation of population based incremental learning method for optimization studies in electromagnetics
Authors: Yang, Shiyou
Ho, Siu-lau
Ni, Guangzheng
Machado, José Márcio
Wong, K. F.
Subjects: Algorithms
Learning systems
Numerical analysis
Optimization
Probability
Vectors
Issue Date: 2006
Publisher: IEEE
Citation: IEEE CEFC 2006 : 12th Biennial IEEE Conference of Electromagnetic Field Computation : April 30-May 3, 2006, Miami, Florida, USA, p. 162.
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.
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1102
ISBN: 1424403200
Appears in Collections:EE Conference Papers & Presentations

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