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