A fuzzy adaptive neighborhood search for function optimization
DAVID ALEJANDRO PELTA, Armando J. Blanco, José Luís Verdegay · 2002
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.