DocumentCode :
1885693
Title :
Research on Vehicle Routing Problem Based on Immune Genetic Algorithm
Author :
Li, Yongpan ; Liu, Yong
Author_Institution :
Sch. of Manage., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
The vehicle routing problem is proved to be a kind of NP problem. Immune genetic algorithm is proposed based on genetic algorithm and the use of the biological and immune system in this paper. A kind of group diversity maintaining strategy based on the density of individual is constructed. An immune operator and a immune memory library are applied to the algorithm. The experimental results of a VRP instance show that the algorithm is a preferable scheme for the VRP which can avoid the problem of "premature convergence" and prevent the possibility of the degradation of the optimal solution effectively.
Keywords :
artificial immune systems; convergence; genetic algorithms; transportation; NP problem; VRP instance; biological system; group diversity maintaining strategy; immune genetic algorithm; immune memory library; immune operator; immune system; premature convergence; vehicle routing problem; Algorithm design and analysis; Immune system; Logistics; Optimization; Routing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5677690
Filename :
5677690
Link To Document :
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