摘要
提出了一种新的混合区间粒子群算法,该算法包含两部分,首先应用区间优化算法删除大部分不含有全局最小点的搜索区间,其次在剩余的搜索空间产生粒子群算法的初始种群,应用粒子群算法和区间算法共同解得全局最小值。数值实验表明,该方法快速、有效。
A new hybrid interval partical swarm optimization is presented in this parper.The arithmetic includes two parts.Firstly,we apply interval arithmetic to delete a majority of search space which don't include global minimum.Secondly,initial swarm is produced in spare search space.Then,we use partical swarm optimization and interval arithmetic to find the global minimum.At last,we verify the effective and efficient performance of the algorithms through the simulation.
出处
《系统管理学报》
北大核心
2006年第6期552-555,560,共5页
Journal of Systems & Management
基金
山东省自然科学基金资助项目(Y2003G01)
关键词
区间
粒子群
优化算法
interval
partical wwarm
optimization algorithm
