DocumentCode
2745962
Title
A Static Environment-Based Path Planning Method by Using Genetic Algorithm
Author
Yao, Zhigang ; Ma, Lianyang
Author_Institution
Dept. of Comput. Sci., China Univ. of Geosci., Wuhan, China
Volume
2
fYear
2010
fDate
5-6 June 2010
Firstpage
405
Lastpage
407
Abstract
This paper proposed a genetic algorithm-based method of path planning for mobile robot in a static environment. The paper uses a simple fitness function as the evaluation standard for an individual or a path. This is able to reduce the computation consumption, but it still cannot avoid of customizing genetic operators. In most cases, thus, the optimal solution could be found out in the lower evolution generations. The simulation study shows that this method is suitable for mobile robot path planning.
Keywords
genetic algorithms; mobile robots; path planning; computation consumption; fitness function; genetic algorithm; lower evolution generations; mobile robot path planning; static environment-based path planning method; Communication system control; Computer science; Genetic algorithms; Genetic engineering; Geology; Image communication; Industrial engineering; Mobile robots; Optimization methods; Path planning; component; genetic algorithm; mobile robot; path planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-4026-9
Type
conf
DOI
10.1109/CCIE.2010.220
Filename
5491995
Link To Document