| Title of paper:
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Water cycle algorithm augmentation with fuzzy and intuitionistic fuzzy dynamic adaptation of parameters
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| Author(s):
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| Oscar Castillo
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| Tijuana Institute of Technology, Tijuana, Mexico
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| ocastillo@tectijuana.mx
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| Eduardo Ramirez
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| Tijuana Institute of Technology, Tijuana, Mexico
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| Olympia Roeva
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| Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev bl 105, 1113, Sofia, Bulgaria
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| olympia@biomed.bas.bg
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| Presented at:
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4th International Intuitionistic Fuzzy Sets and Contemporary Mathematics Conference, 3–7 May 2017, Mersin, Turkey
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 23, 2017, Number 1, pages 79—94
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| Download:
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 PDF (157 Kb Kb, File info)
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| Abstract:
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The paper describes the enhancement of the Water Cycle Algorithm (WCA) using a fuzzy inference system to dynamically adapt its parameters. The idea of intuitionistic fuzzy systems for WCA parameter adaptation is discussed, too. The original WCA is compared in terms
of performance with the proposed method called Water Cycle Algorithm with Dynamic Parameter Adaptation (WCA-DPA). Simulation results on a set of well-known test functions show that the WCA can be improved with a fuzzy dynamic adaptation of the parameters.
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| Keywords:
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Water cycle algorithm, Optimization, Fuzzy logic, Intuitionistic fuzzy logic.
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| AMS Classification:
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03E72.
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| References:
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