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|Title: ||Sensitivity Analysis of a Genetic Algorithm for a Competitive Facility Location Problem|
|Authors: ||Pangilinan, Jose Maria A.|
|Issue Date: ||2008|
|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.|
|ISI #: ||000262983600050|
|Type: ||Proceedings Paper|
|Validation: ||ecoom, 2010|
|Appears in Collections: ||Research publications|
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