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