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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
Author(s):
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
olympia@biomed.bas.bg
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, Tajovského 40, SK-974 01 Banská Bystrica
alzbeta.michalikova@umb.sk
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 20, 2014, Number 4, pages 53–58
Download:  PDF (132  Kb, File 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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