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Issue:Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters

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Title of paper: Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters
Author(s):
Olympia Roeva
Bioinformatics and Mathematical Modelling Department, IBPhBME - Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., block 105, Sofia 1113, Bulgaria
olympia@biomed.bas.bg
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, 40 Tajovského Str., SK–974 01 Banská Bystrica, Slovakia
Alzbeta.Michalikova@umb.sk
Presented at: 9th International Workshop on Intuitionistic Fuzzy Sets, 8 October 2013, Banská Bystrica, Slovakia
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 19, 2013, Number 2, pages 71-76
Download:  PDF (124  Kb, File info)
Abstract: In this paper a Generalized Net (GN) model of Intuitionistic fuzzy logic (IFL) control of two Genetic Algorithm (GA) parameters, is proposed. IFL controller is used to tune dynamically GA parameters – crossover and mutation probability. The GN-model describes the process of GA parameters control, trying to improve the algorithm performance.
Keywords: Generalized Net, Intuitionistic fuzzy logic, Parameters control, Genetic algorithm.
AMS Classification: 03E72,65Q85, 68T20.
References:
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