Author(s)

Gürsel A. Süer

Document Type

Article

Publication Date

2012

Publication Source

Procedia Computer Science

Abstract

This paper extends the earlier studies conducted on multiple scheduler profile in fuzzy genetic scheduling. Multiple schedulers can set up individual fuzzy membership bounds which results in different evaluation of multi-objective problem of single machine scheduling. A new software application enables feedback among schedulers by applying seeding of individual scheduler's population by best chromosomes from other scheduler's population. Few experiments are performed on the aforementioned software application to evaluate the performance of the multi objective single machine scheduling problem by varying the level and frequency of feedback. More improvement is observed as the frequency of the feedback is increased but no significant improvement is observed when the level is increased.

Inclusive pages

129-134

ISBN/ISSN

1877-0509

Document Version

Published Version

Comments

This article is provided for download by way of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License.

DOI: https://doi.org/10.1016/j.procs.2012.09.042

Publisher

Elsevier

Volume

12

Peer Reviewed

yes

Keywords

• Genetic algorithm, multi-person scheduling, multiple objective, single machine, fuzzy systems


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