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改进的区域消除算法。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 。
An improved domain elimination intelligent method for global optimization of multimodal functions with continuous variables is presented by incorporating the ideas of both the memorization of the searched parameter spaces and comparing the stated compromising the memorized history with the newly generated ones as well as the introduction of a local phase. The advantage of the present method over the traditional simulated annealing algorithm is validated by both typical function test and computer simutation. Thus the paper presents an alternative for the global optimization of inverse problems in electromagnetics.
出处
《辽宁工学院学报》
2000年第1期3-6,共4页
Journal of Liaoning Institute of Technology(Natural Science Edition)
基金
辽宁省教委基金项目! (编号 971 0 2 2 1 0 6 3)
关键词
电磁场逆问题
全局优化
区域消除算法
inverse problem of electromagnctics
Global optimization
simulated anncaling algorithm
domanin climination method