蚁群优化算法
计算机科学
路径(计算)
运动规划
蚁群
人工智能
蚂蚁
算法
机器人
计算机网络
出处
期刊:International Conference on Artificial Intelligence
日期:2021-05-28
被引量:2
标识
DOI:10.1109/icaibd51990.2021.9458959
摘要
In order to solve the problem of local optimal solution and slow convergence speed of traditional ant colony algorithm,initial pheromone, transfer probability and pheromone update strategy are improved in the paper. Combined with the practical application of Autonomous Underwater Vehicle (AUV), the path planning of traditional ant colony algorithm and improved ant colony algorithm are compared by simulation. The simulation results show that the improved ant colony algorithm can improve the convergence speed of the algorithm effectively
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