Research Article
Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem
|
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
|
| Volume 11 - Issue 3 |
| Published: Aug 2016 |
| Authors: Chaouqi Mohsine, Benhra Jamal, My Ali El Oualidi |
10.5120/ijais2016451588
|
Chaouqi Mohsine, Benhra Jamal, My Ali El Oualidi . Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem. International Journal of Applied Information Systems. 11, 3 (Aug 2016), 21-25. DOI=10.5120/ijais2016451588
@article{ 10.5120/ijais2016451588,
author = { Chaouqi Mohsine,Benhra Jamal,My Ali El Oualidi },
title = { Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem },
journal = { International Journal of Applied Information Systems },
year = { 2016 },
volume = { 11 },
number = { 3 },
pages = { 21-25 },
doi = { 10.5120/ijais2016451588 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Chaouqi Mohsine
%A Benhra Jamal
%A My Ali El Oualidi
%T Genetic Algorithm Tuning Applied to the Open Shop Scheduling Problem%T
%J International Journal of Applied Information Systems
%V 11
%N 3
%P 21-25
%R 10.5120/ijais2016451588
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The present paper deals with the open-shop scheduling problem using a manual tuning of a genetic algorithm’s parameters. A comparison has been performed between Taillard’s Benchmarks for 60 instances, 2 dispatching rules and 198 variants from the GA algorithm obtained by changing the population size, the generation’s number, the crossover probability, and the mutation probability. Interesting results were obtained leading to some conclusions for the best choice of the parameters.
References
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