8-9 October 2020 • Burgas, Bulgaria

Submission: 15 May 2020 • Notification: 31 May 2020 • Final Version: 15 June 2020

Issue:Water cycle algorithm augmentation with fuzzy and intuitionistic fuzzy dynamic adaptation of parameters

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Title of paper: Water cycle algorithm augmentation with fuzzy and intuitionistic fuzzy dynamic adaptation of parameters
Author(s):
Oscar Castillo
Tijuana Institute of Technology, Tijuana, Mexico
ocastilloAt sign.pngtectijuana.mx
Eduardo Ramirez
Tijuana Institute of Technology, Tijuana, Mexico
Olympia Roeva
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev bl 105, 1113, Sofia, Bulgaria
olympiaAt sign.pngbiomed.bas.bg
Presented at: 4th International Intuitionistic Fuzzy Sets and Contemporary Mathematics Conference, 3–7 May 2017, Mersin, Turkey
Published in: "Notes on IFS", Volume 23, 2017, Number 1, pages 79—94
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Abstract: 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.

Keywords: Water cycle algorithm, Optimization, Fuzzy logic, Intuitionistic fuzzy logic.
AMS Classification: 03E72.
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