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 :
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