A global optimization method intelligent simulated annealing algorithm (ISA) is presented in this paper. The proposed method implemented by assembling fuzzy inference technique into baisc simualted annealing can reject infeasible solution prior to cost function computation. The algorithm is used to the optimization of some classical test functions, and all the blobal optimums are obtained robustly and effectively. Finally the ISA algorithm is applied to the optimal design of a brushless dcomotor and about 60 percents CUP time of SA can be saved.
展开▼
