MULTI-OBJECTIVE FUZZY SHORTEST PATH SELECTION FOR GREEN ROUTING AND SCHEDULING PROBLEMS
Main Article Content
Abstract
The Green Routing and Scheduling Problems deal with the models which relate to ecological issues. For modeling routing and transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision, fuzzy logic approach happens to be a very promising mathematical approach.The present investigation discusses about the multi objective fuzzy shortest path selection, where the arc lengths are expressed as trapezoidal fuzzy numbers. The shortest paths can be distinguished by using the highest degree of similarity measure. The optimal path selected depends on the different weights given to the MOFSP in the network. The decision maker can select the best one or the most satisfactory solution depending on the priority and nature of the problem. The algorithms are illustrated with a bi-objective optimization problem with crisp and trapezoidal fuzzy values. The numerical experimentation is used to evaluate the proposed model. The experiment results of the proposed model prove that the results lead to the selection of shortest path as a standard algorithm.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.