An Improved Ant Colony Algorithm Of Three dimensional Path Planning

被引：3
|
作者：
Qian, Weijie [1 ]
Zhou, Lanfeng [1 ]
Yang, Lina [1 ]
Xu, Wei [1 ]
机构：
[1] Shanghai Inst Technol, Sch Comp Sci & Informat Engn, Shanghai, Peoples R China
来源：
2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1 | 2017年
基金：
中国国家自然科学基金;
关键词：
ant colony algorithm; pheromone; volatile; efficiency;
D O I：
10.1109/ISCID.2017.29
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The path planning problem of mobile robot in three dimension environment is studied in this paper. The heuristic function and pheromone update method of ant colony algorithm are improved. The influence factor of path distance in heuristic function is introduced. The algorithm search has a certain direction. At the same time, in order to improve the convergence speed of the algorithm. The penalty mechanism of pheromone is adopted, and it combine with the self adapted volatile factor. Simulation results show, that the length of the 3D path and the search efficiency are improved by the improved algorithm.
引用
收藏
页码：119 / 122
页数：4
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