摘要
根据基本蚁群算法的两个常用信息素更新公式,研究了算法中最初信息量、信息素挥发因子、信息素增量之间的关系以及变化规律,找到了其不等式关系,并进行了仿真证明.
Based on two pheromone update formulas,the relations between the initial pheromone value,evaporation factor,the pheromone increment and their changes law were studied,the inequality relations between these factors were found and the simulations were given.
出处
《信阳师范学院学报（自然科学版）》
CAS
北大核心
2012年第2期262-265,共4页
Journal of Xinyang Normal University(Natural Science Edition)
基金
四川省武警警官学院课题研究项目(2012013)
关键词
蚁群算法
旅行商问题
信息素
优化
ant colony algorithm
traveling salesman problem
pheromone
optimization
