DocumentCode :
551645
Title :
An improved artificial potential field method for solving local minimum problem
Author :
Li, Qing ; Wang, Lijun ; Chen, Bo ; Zhou, Zhou
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Volume :
1
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
420
Lastpage :
424
Abstract :
An improved artificial potential field (APF) method is proposed for solving local minimum problems. An additional force is provided and the virtual local minimum area is developed. The influences of parameters in improved APF are also discussed and the genetic algorithm (GA) is introduced for parameters optimization. Some simulation studies with single obstacle and multiple obstacles have carried out to demonstrate the effectiveness of the proposed algorithms.
Keywords :
genetic algorithms; mobile robots; path planning; problem solving; genetic algorithm; improved artificial potential field method; local minimum problem solving; mobile robots; parameter optimization; path planning; virtual local minimum area; Algorithm design and analysis; Force; Genetic algorithms; Mobile robots; Optimization; Path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008278
Filename :
6008278
Link To Document :
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