摘要
本文在一种连续域函数优化蚁群算法基础上,对该算法做了进一步的改进,引入了自动判断收敛条件方法,同时,也改进了蚁群初始化方法、全局搜索策略以防止早熟和停滞现象。通过与其他连续域函数优化算法的比较结果证明,改进后的算法稳定性较好。
In this paper a continuous domains function optimization ant colony algorithm was further improved.The improved algorithm introduced automatic judgment method of convergence condition,Same time,it also improved the method of ant colony initialization and global search strategy to prevent precocity and stagnation in ant colony algorithm.Compared with other continuous domains function optimization methods,The improved algorithm has better stability.
出处
《计算机光盘软件与应用》
2012年第4期195-196,共2页
Computer CD Software and Application
关键词
蚁群算法
连续域函数优化
进化计算
Ant colony algorithm
Continuous domain function optimization
Evolutionary computation
