DocumentCode
3192143
Title
A new coding method for genetic algorithm in vehicle routing problem
Author
Jiajiao, Qin ; Yong, Zhang ; Jianlin, Mao ; Lixia, Fu
Author_Institution
Kunming Univ. of Sci. & Technol., Kunming, China
fYear
2011
fDate
20-23 March 2011
Firstpage
201
Lastpage
204
Abstract
Genetic algorithm is widely used to solve optimization problems for its characteristic, especially vehicle routing problem. By using this algorithm to solve the vehicle scheduling problem, determine the solution coding method is a very crucial basic work, because it will directly influence the algorithm to realize and the inferiority of algorithm performance. This paper presents a new coding method - the client direct arrangement and grouping randomized. Firstly, produce customer arrangement without repeating, and than put it into small groups randomly which is serviced by a vehicle separately. It represents a solution or a route. In the final, it is proved that the genetic algorithm with new coding has good performance through experiment.
Keywords
combinatorial mathematics; encoding; genetic algorithms; transportation; vehicles; client direct arrangement method; combinatorial optimization problem; customer arrangement; genetic algorithm; grouping randomized method; solution coding method; vehicle routing problem; Biological cells; Encoding; Genetic algorithms; Heuristic algorithms; Optimization; Routing; Vehicles; coding; genetic algorithm; random; vehicle routing problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2011 IEEE International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-61284-910-2
Type
conf
DOI
10.1109/CYBER.2011.6011793
Filename
6011793
Link To Document