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Alternative TitleAUV Path Planning Based on Improved Ant Colony Algorithm
董凌艳; 徐红丽
Source Publication自动化与仪表
Contribution Rank1
Funding Organization中国科学院国防创新项目(CXJJ-15M031)
Keyword路径规划 蚁群算法 再励学习 Dijkstra算法 信息素更新 自治水下机器人
Other AbstractPath planning is meant by looking for a path without collision from the start point to target point in an environment which the obstacle is known. Improved ant colony algorithm is extended to the area of path planning for autonomous underwater vehicle, namely AUV for short. To improve the drawbacks of traditional ant colony algorithm in practical application, an improved ant colony algorithm based on reinforcement learning is proposed. The ant algorithm's shortcomings of slow in search and easy in trapping into local optimal solution are improved with the usage of reward and punishment in the update of ant colony pheromone. Improve the search speed and optimization ability of the algorithm can obviously improve the efficiency of path planning. Simulation results verify the effectiveness of the improved algorithm.
Document Type期刊论文
Corresponding Author董凌艳
Recommended Citation
GB/T 7714
董凌艳,徐红丽. 基于改进型蚁群算法的AUV路径规划[J]. 自动化与仪表,2017,32(3):1-4.
APA 董凌艳,&徐红丽.(2017).基于改进型蚁群算法的AUV路径规划.自动化与仪表,32(3),1-4.
MLA 董凌艳,et al."基于改进型蚁群算法的AUV路径规划".自动化与仪表 32.3(2017):1-4.
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