Experiments with a new selection criterion in a fast interval optimization algorithm

Usually, interval global optimization algorithms use local search methods to obtain a good upper (lower) bound of the solution. These local methods are based on point evaluations. This paper investigates a new local search method based on interval analysis information and on a new selection criterio...

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Bibliographic Details

Published in:	Journal of global optimization Vol. 19; no. 3; pp. 247 - 264
Main Authors:	Casado, L.G., Martínez, J.A., García, I.
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Nature B.V 01.03.2001
Subjects:	Boxes Optimization algorithms Random access memory
ISSN:	0925-5001, 1573-2916
Online Access:	Get full text
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