By Topic

Solving capacitated vehicle routing problems by modified differential evolution

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Lei Jian-Jun ; Dept. of Comput. Eng., Hubei Univ. of Educ., Wuhan, China ; Li Jian

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.

Published in:

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on  (Volume:2 )

Date of Conference:

6-7 March 2010