Multi-objective job shop scheduling problem with sequence dependent setup times using a novel metaheuristic Online publication date: Sat, 07-Feb-2015
by Majid Khalili; Bahman Naderi
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 2, No. 4, 2014
Abstract: The job shop problem is the most complicated and typical problem of all kinds of production scheduling problems, the allocation of resources over time to perform a collection of tasks. This paper studies multi-objective job shop scheduling problems where the setup times is sequence dependent to minimise two objective functions simultaneously. Since the problem is NP-hard and difficult to find an optimal solution in a reasonable computational time an efficient multi-objective electromagnetism algorithm (MOEA) is presented as the solution procedure. An electromagnetism algorithm is known as a flexible and effective population-based algorithm utilising an attraction/repulsion mechanism to move the particles towards optimality. The algorithm is carefully evaluated for its performance against two available algorithms by means of multi-objective performance measures and statistical tools. All the results demonstrate that our MOEA is very effective for the problem.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook