Normal view MARC view ISBD view

A fuzzy adaptive neighborhood search for function optimization

By:

Pelta, David Alejandro

Contributor(s):

Material type: Article

ArticleSeries: ^p Datos electrónicos (1 archivo : 406 KB)Subject(s):

Online resources:

Click here to access online

Summary: Neighborhood based search algorithms have been applied with success in the optimization field. In this work, a Fuzzy Adaptive Neighborhood Search algorithm which uses fuzzy concepts and heuristic rules in the decision procedures together with several schedulers to adapt its behaviour as proposed. The conceptual and practical design of FANS in components allows decision makers the testing of different schemes and alternatives.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Home library	Call number	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	A0203 (Browse shelf(Opens below))	Recurso en Línea

Browsing Biblioteca de la Facultad de Informática shelves Close shelf browser (Hides shelf browser)

Previous								Next
Previous	A0200 Components for embedded software : the PECOS approach	A0201 Engineering web applications for reuse	A0202 Traceability en la etapa de elicitación de requerimientos	A0203 A fuzzy adaptive neighborhood search for function optimization	A0204 Simultaneous object segmentation, múltiple object traking and alpha map generation	A0205 Closed-form connectivity-preserving solutions for motion compensation using 2-D meshes	A0206 Motion compensation based on spatial transformations	Next

Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.) -- Formato de archivo: PDF. -- Disponible también en línea (Cons. 3/04/2008)

Neighborhood based search algorithms have been applied with success in the optimization field. In this work, a Fuzzy Adaptive Neighborhood Search algorithm which uses fuzzy concepts and heuristic rules in the decision procedures together with several schedulers to adapt its behaviour as proposed. The conceptual and practical design of FANS in components allows decision makers the testing of different schemes and alternatives.

Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES 2000), 30 Aug-1 Sept 2000, Brighton, UK, pp. 594-597.