Otro
A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
Registro en:
IEEE Transactions on Magnetics. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 36, n. 4, p. 1004-1008, 2000.
0018-9464
10.1109/20.877611
WOS:000090067900084
2-s2.0-0034217702
Autor
Yang, Shiyou
Machado, Jose Marcio
Ni, Guangzheng
Ho, S. L.
Zhou, Ping
Resumen
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.