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Design and optimisation for fixed area cellular layout problems using GA and SAA

Design and optimisation for fixed area cellular layout problems using GA and SAA 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Innovation and Sustainable Development Inderscience Publishers

Design and optimisation for fixed area cellular layout problems using GA and SAA

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1740-8822
eISSN
1740-8830
DOI
10.1504/IJISD.2013.052124
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Innovation and Sustainable DevelopmentInderscience Publishers

Published: Jan 1, 2013

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