Design and optimisation for fixed area cellular layout problems using GA and SAA Online publication date: Thu, 14-Feb-2013
by M. Saravanan; P.V. Arulkumar
International Journal of Innovation and Sustainable Development (IJISD), Vol. 7, No. 1, 2013
Abstract: This paper compares two familiar optimisation algorithms named Genetic Algorithm (GA) and Simulated Annealing Algorithm (SAA) to find out the best algorithm which is suitable for solving the cellular layout design problems. The objective is to minimise the movement of parts within the cell by appropriate placement of machines. In determining the physical location of work centres, some relative importance factors are considered. The priorities are given for the product, which has more volume and hazardous move and also to minimise back tracking move.
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 Innovation and Sustainable Development (IJISD):
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