Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

Application of the improved genetic algorithm in robot path planning

Authors
Wang Rui, Wang Jinguo, Wang Na
Corresponding Author
Wang Rui
Available Online December 2015.
DOI
10.2991/jimet-15.2015.203How to use a DOI?
Keywords
genetic algorithm, mobile robot, path planning
Abstract

In order to improve the algorithm efficiency, expand the scope of application, we study the mobile robot path planning technology based on improved genetic algorithm. In this paper, we design a new adaptive function, which contains the path length information, the collision penalty factor, and the path gap factor. Experimental results express that the method can search the optimal path between the starting point and the target point.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-129-2
ISSN
2352-538X
DOI
10.2991/jimet-15.2015.203How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wang Rui
AU  - Wang Jinguo
AU  - Wang Na
PY  - 2015/12
DA  - 2015/12
TI  - Application of the improved genetic algorithm in robot path planning
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 1081
EP  - 1084
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.203
DO  - 10.2991/jimet-15.2015.203
ID  - Rui2015/12
ER  -