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
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