摘要
借助“记忆”已搜索过的可行空间并将其中状态与当前随机产生状态的对比、分析，以及引入局部寻优算法，本文给出了一种多极值点连续变量函数全局优化的智能化新算法一改进的区域消除法。典型函数验证和应用计算实例表明，改进算法的收敛速度优于模拟退火算法。因此，本文为电磁场逆问题的求解计算提供了一种可供选择的全局优化算法。
An improved domain elimination method for global optimization of multimodal functions with continuous variables is presented in this paper. The method incorporate the ideas of both the memorization of the searched parameter spaces and compare the states compromising the memorized history with the newly generated ones as well as to introduce of a local phase. The advantage of the present method over the traditional simulated annealing algorithm is validated by using a mathematical test function and also by solving the geometry optimization of the end region of a typical power transformer. Thus an alternative for the global optimization of inverse problems in electromagnetics is introduced.
出处
《电机与控制学报》
EI
CSCD
2000年第1期10-12,20,共4页
Electric Machines and Control
关键词
算法
区域消除法
电磁场
逆问题
电机
计算
global optimization, domain elimination method, simulated annealing algorithm
inverse problem of electromagnetics
