Experimental evaluation of an automatic parameter setting system

Finding the parameter setting that will result in the optimal performance of a given algorithm for solving a problem is a tedious task. This paper briefly describes a system that automatically chooses the best algorithm parameter configuration conditioned by the current problem instance to solve. Th...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 37; no. 7; pp. 5224 - 5238
Main Authors:	Pavón, R., Díaz, F., Laza, R., Luzón, M.V.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2010
Subjects:	Algorithms Bayesian networks Boron nitride Case-based reasoning Constructive geometric constraint solving Expert systems Genetic algorithms Mathematical models Networks Optimization Setting parameters Tasks Setting parameters Bayesian networks Constructive geometric constraint solving Case-based reasoning Genetic algorithms
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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