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Issue:Intuitionistic fuzzy logic control of metaheuristic algorithms' parameters via a generalized net: Difference between revisions
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| issue = [[Notes on Intuitionistic Fuzzy Sets/20/4|"Notes on | | issue = [[Notes on Intuitionistic Fuzzy Sets/20/4|"Notes on Intuitionistic Fuzzy Sets", Volume 20, 2014, Number 4]], pages 53–58 | ||
| file = NIFS-20-4-53-58.pdf | | file = NIFS-20-4-53-58.pdf | ||
| format = PDF | | format = PDF | ||
| size = | | size = 132 | ||
| 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. | | 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. | | keywords = Generalized Net, Intuitionistic fuzzy logic, Parameters control, Metaheuristics. |
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