Application of the improved genetic algorithm in robot path planning

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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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  -