Cart (Loading....) | Create Account
Close category search window

Darwin meets computers: new approach to multiple depot capacitated vehicle routing problem

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

3 Author(s)
Filipec, M. ; Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia ; Skrlec, D. ; Krajcar, S.

We present a study of using genetic algorithms (GAs) to solve non-fixed destination multiple-depot capacitated vehicle routing problem. The genetic algorithm was developed on the basis of experiences in solving the travelling salesman problem and the single depot capacitated vehicle routing problem. Heuristic improvements in population initialization and crossover operators are made to prevent converging to local optima and to reduce the search space domain. To deal effectively with the constraints of the problem, and to prune the search space of GA in advance, the difficult capacity and supply reliability constraints are embedded in the decimal strings that are coded to represent the vehicle routes between depots. Computational results carried out on several instances indicate that the total distance travelled can be reduced significantly when such method is used

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.