动态融合蚁群算法与遗传算法的路径规划方法研究

车健波,唐东林,何媛媛,胡远遥,卢炳盛,张俊辉

Research on path planning method based on dynamic fusion of ant colony optimization and genetic algorithm

Jianbo CHE,Donglin TANG,Yuanyuan HE,Yuanyao HU,Bingsheng LU,Junhui ZHANG

表4 ACO-GA、MACOGA和DACO-GA的路径规划性能对比

Table 4 Comparison of path planning performance of ACO-GA, MACOGA and DACO-GA

性能指标 ACO-GA MACOGA DACO-GA 最优路径长度 45.113 43.724 41.834 平均路径长度 49.941 45.094 47.895 最优路径转弯次数 9 11 10 收敛次数 40 32 30