A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
Ping Zhou, S. L. Ho, Guangzheng Ni, José Márcio Machado, Shiyou Yang · IEEE Transactions on Magnetics · 2000
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.