| Title of paper:
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Intuitionistic fuzzy logic control of metaheuristic algorithms' parameters via a generalized net
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| Author(s):
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| Olympia Roeva
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| Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
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| olympia@biomed.bas.bg
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| Alžbeta Michalíková
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| Faculty of Natural Sciences, Matej Bel University, Tajovského 40, SK-974 01 Banská Bystrica
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| alzbeta.michalikova@umb.sk
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| Published in:
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"Notes on IFS", Volume 20, 2014, Number 4, pages 53–58
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| Download:
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 PDF (132 Kb, File info)
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| Abstract:
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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.
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| Keywords:
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Generalized Net, Intuitionistic fuzzy logic, Parameters control, Metaheuristics.
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| AMS Classification:
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03E72, 65Q85, 68T20.
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| References:
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