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Issue:Intuitionistic fuzzy logic control of metaheuristic algorithms' parameters via a generalized net

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Title of paper: Intuitionistic fuzzy logic control of metaheuristic algorithms' parameters via a generalized net
Olympia Roeva
Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, Tajovského 40, SK-974 01 Banská Bystrica
Published in: "Notes on IFS", Volume 20, 2014, Number 4, pages 53–58
Download:  PDF (132  Kb, Info)
Abstract: In this paper a Generalized Net (GN) model of Intuitionistic fuzzy logic (IFL) control of metaheuristic algorithms’ parameters, is proposed. IFL controller is used to tune dynamically algorithm parameters. The GN-model describes the process of parameters control, trying to improve the algorithm performance.
Keywords: Generalized Net, Intuitionistic fuzzy logic, Parameters control, Metaheuristics.
AMS Classification: 03E72, 65Q85, 68T20.
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