摘要
提出了一种改进的类电磁机制算法——基于佳点集的类电磁机制算法.该算法运用数论中的佳点集理论构造初始种群;改进了局部搜索算法;运用改造后的公式计算粒子之间的作用力;设计了一种自适应移动算子来更新粒子.实验结果表明,改进后的算法能更快、更精确地收敛于问题的全局最优值.
The electromagnetism-like mechanism(EM) algorithm is a new heuristic algorithm for global optimization.By analyzing the optimization mechanism of EM,an improved Electromagnetism-like Mechanism algorithm,which is an Electromagnetism-like Mechanism algorithm based on the good point set,is proposed.The new algorithm constructs the initial population by using the principles of the good point set in the number theory,and improves the local search algorithm.This algorithm calculates the total force vector between particles by using the modified equation,and designs an adaptive move operator to update the location of those particles.Experimental results show that the improved algorithm can converge to the global optima more effectively and accurately.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第6期167-172,共6页
Journal of Xidian University
基金
国家部委基础科研计划资助项目(D1120060967)
关键词
类电磁机制算法
佳点集
全局优化
electromagnetism-like mechanism algorithm
good point set
global optimization