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

CGOMFP: control genetic operators with management of the final population to optimize a multimodal transport moving

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)
Kamel, Z. ; LAGIS Lab., Ecole Centrale de Lille, France ; Slim, H.

In this paper, we develop a decision making system in order to assist a transport client to do his travel in the optimum way. Our approach is based on the implementation of a distributed system. The objective of our system is to help the users as well as possible to facilitate their displacement in the dynamic graph. A displacement between two nodes in the normal mode can be transformed into displacement between two uncertain and dynamic nodes in a disturbed network. In this purpose, we present a multi-objective method including an optimal search routes, based on hybridization between Dijkstra algorithm and genetic algorithm. To assure the diversification of solutions, we have to manage the population by controlling the crossover and mutation operators. This management of the "population" allows the system to find a solution in case of disturbance by exploiting the final population. The advantage of this method is to give more choices to the users to assure continuity in their multimodal displacement.

Published in:

Systems, Man and Cybernetics, 2004 IEEE International Conference on  (Volume:7 )

Date of Conference:

10-13 Oct. 2004

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.