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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10972

Title: Sensitivity Analysis of a Genetic Algorithm for a Competitive Facility Location Problem
Authors: Pangilinan, Jose Maria A.
JANSSENS, Gerrit
CARIS, An
Issue Date: 2008
Publisher: SPRINGER
Citation: Elleithy, K. (Ed.) INNOVATIONS AND ADVANCED TECHNIQUES IN SYSTEMS, COMPUTING SCIENCES AND SOFTWARE ENGINEERING. p. 266-271.
Abstract: The paper describes an application of a multi-objective evolutionary algorithm that finds Pareto-optimal solutions to a competitive facility location problem and reports a sensitivity analysis of the evolutionary algorithm model. A genetic algorithm which uses non-uniform mutation and continuous recombination is developed to find solutions to the bi-objective location problem. Results show that the genetic algorithm can find solutions close to the Pareto-optimal set in polynomial time and results from sensitivity analysis show that the mutation rate has the largest influence on the output among the input factors.
Notes: [Pangilinan, Jose Maria A.] St Louis Univ, Baguio, Philippines.
URI: http://hdl.handle.net/1942/10972
DOI: 10.1007/978-1-4020-8735-6_50
ISI #: 000262983600050
ISBN: 78-1-4020-8735-6
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2010
Appears in Collections: Research publications

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