DocumentCode :
2245916
Title :
Solving capacitated vehicle routing problems by modified differential evolution
Author :
Lei Jian-Jun ; Li Jian
Author_Institution :
Dept. of Comput. Eng., Hubei Univ. of Educ., Wuhan, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
513
Lastpage :
516
Abstract :
To solve capacitated vehicle routing problems (CVRP), a modified differential evolution (MDE) was employed, which was derived from the differential evolution (DE) and incorporated with the genetic reproduction mechanisms, namely crossover and mutation. The Greedy Subtour Crossover (GSX) was employed to generate an offspring to denote the difference of the parents. A modified ordered crossover (MOX) was employed to perform mutation to generate trial vector with user defined parameters, the parameters were used to control the rates of the target vector components and the mutated vector components in the trial vector. Moreover, the 2-opt local search was implemented to optimize the sub routings. MDE was implemented to the well-known CVRP benchmarks. The simulation results have shown the feasibility and the effectiveness of the approach.
Keywords :
transportation; vehicles; capacitated vehicle routing problems; genetic reproduction mechanisms; greedy subtour crossover; modified differential evolution; modified ordered crossover; mutated vector components; target vector components; user defined parameters; Asia; Automatic control; Evolutionary computation; Genetic mutations; Informatics; Model driven engineering; Robot control; Robotics and automation; Routing; Vehicles; capacitated vehicle routing problem; differential evolution; evolutionary algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456611
Filename :
5456611
Link To Document :
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