Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/890
Title: A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
Authors: Yang, Shiyou
Machado, José Márcio
Ni, Guangzheng
Ho, Siu-lau
Zhou, Ping
Subjects: Domain elimination method
Global optimization
Self-learning ability
Simulated annealing algorithm
Issue Date: Jul-2000
Publisher: IEEE
Source: IEEE transactions on magnetics, July 2000, v. 36, no. 4, p. 1004-1008.
Abstract: A self-learning simulated annealing algorithm is developed by combining the characteristics of simulated annealing and domain elimination methods. The algorithm is validated by using a standard mathematical function and by optimizing the end region of a practical power transformer. The numerical results show that the CPU time required by the proposed method is about one third of that using conventional simulated annealing algorithm.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/890
DOI: 10.1109/20.877611
ISSN: 0018-9464
Appears in Collections:EE Journal/Magazine Articles

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