蚁群算法参数优化设置研究

基金项目:

四川省武警警官学院课题研究项目(2012013)

Studies on the Parameters Configuration for Ant Colony Algorithm

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
- 蚁群算法 /
- 旅行商问题 /
- 信息素 /
- 优化
Abstract: 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
- ant colony algorithm /
- traveling salesman problem /
- pheromone /
- optimization

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[2]	王书勤，黄茜．一种基于CVRP 的改进蚁群算法［J］．甘肃科技，2