DocumentCode :
530469
Title :
Path planning method based on hierarchical hybrid algorithm
Author :
Ma, Yong-Jie ; Hou, Wen-Jing
Author_Institution :
Coll. of Phys. & Electron. Eng., Northwest Normal Univ., NWNU, Lanzhou, China
Volume :
1
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
74
Lastpage :
77
Abstract :
A path planning method based on hierarchical hybrid algorithm was proposed, which is aimed at the path planning features in urban road traffic. The method by analyzing and transforming the traffic restriction combines the ant colony algorithm and genetic algorithm. The ant colony algorithm employed at the bottom calculates simultaneously in a few of subnets for the local optimization, and the genetic algorithm is used in the top for the global optimization, which makes the algorithm converged to the global optimization faster. The simulation results show that this algorithm not only has a strong effect of practical applications, but substantially reduces the number of optimization calculations and improves the performance of the algorithm.
Keywords :
genetic algorithms; path planning; road traffic; ant colony algorithm; genetic algorithm; global optimization; hierarchical hybrid algorithm; local optimization; path planning method; urban road traffic; Analytical models; Computational modeling; Gallium nitride; Genetics; ant colony algorithm; genetic algorithm; hierarchical hybrid algorithm; path planning; traffic restriction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5609632
Filename :
5609632
Link To Document :
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