Publicação: A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
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Institute of Electrical and Electronics Engineers (IEEE)
Tipo
Artigo
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Resumo
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.
Descrição
Palavras-chave
Domain elimination method, Electromagnetic devices, Power transformer, Self-learning ability, Simulated annealing algorithms, Algorithms, Annealing, Optimization, Electromagnetic fields
Idioma
Inglês
Como citar
IEEE Transactions on Magnetics. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 36, n. 4, p. 1004-1008, 2000.
