A fuzzy adaptive neighborhood search for function optimization
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ArticleSeries: ^p Datos electrónicos (1 archivo : 406 KB)Subject(s): Online resources: 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.
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Biblioteca de la Facultad de Informática | A0203 (Browse shelf(Opens below)) | Recurso en Línea |
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.