DocumentCode
2630987
Title
A fuzzy adaptive neighborhood search for function optimization
Author
Pelta, David A. ; Blanco, Armando ; Verdegay, Jose L.
Author_Institution
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Volume
2
fYear
2000
fDate
2000
Firstpage
594
Abstract
Neighborhood-based search algorithms have been applied with success in the optimization field. In this paper, the FANS (Fuzzy Adaptive Neighborhood Search) algorithm, which uses fuzzy concepts and heuristic rules in its decision procedures, together with several schedulers to adapt its behavior, is proposed. The conceptual and practical design of FANS in components allows decision makers to test different schemes and alternatives
Keywords
functional analysis; fuzzy logic; heuristic programming; optimisation; search problems; FANS algorithm; behavioural adaptation; decision procedures; function optimization; fuzzy adaptive neighbourhood search algorithm; heuristic rules; schedulers; software components; Decision support systems; Fans; Fuzzy sets; Fuzzy systems; Genetic algorithms; Processor scheduling; Scheduling algorithm; Simulated annealing; Statistics; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-6400-7
Type
conf
DOI
10.1109/KES.2000.884118
Filename
884118
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