@inproceedings{dd061c87c4d0422bbcced8699dda1649,
title = "An improved ACO algorithm for mobile robot path planning",
abstract = "Path planning is an important part in Mobile robot researches. For the characteristics of mobile environment, it builds two kind of environment models including obstacle environment and barrier free environment. On the basis of the model, TSP model is a traditional template for path planning with kinds of intelligence algorithm. This paper introduces an improved colony algorithm and it performs well in getting an optimization patrol path for mobile robot in situation with obstacle.",
keywords = "ACO, Path planning, SA, TSP",
author = "Jimtao Cheng and Zhihuai Miao and Bing Li and Wenfu Xu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016 ; Conference date: 01-08-2016 Through 03-08-2016",
year = "2017",
month = jan,
day = "24",
doi = "10.1109/ICInfA.2016.7831958",
language = "英语",
series = "2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "963--968",
booktitle = "2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016",
address = "美国",
}