Issue:Parameter adaptation of the Bat Algorithm, using type-1, interval type-2 fuzzy logic and intuitionistic fuzzy logic

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http://ifigenia.org/wiki/issue:nifs/22/2/87-98

Title of paper: Parameter adaptation of the Bat Algorithm, using type-1, interval type-2 fuzzy logic and intuitionistic fuzzy logic Author(s): Jonathan Pérez Institute of Technology, Calzada Tecnologico s/n, Tijuana, Mexico tecjonathan@gmail.com Fevrier Valdez Institute of Technology, Calzada Tecnologico s/n, Tijuana, Mexico fevrier@tectijuana.mx Olympia Roeva Institute of Biophysics and Biomedical Engineering, BAS, Sofia, Bulgaria olympia@biomed.bas.bg Oscar Castillo Institute of Technology, Calzada Tecnologico s/n, Tijuana, Mexico ocastillo@tectijuana.mx Presented at: International Conference on Intuitionistic Fuzzy Sets Theory and Applications, 20–22 April 2016, Beni Mellal, Morocco Published in: "Notes on IFS", Volume 22, 2016, Number 2, pages 87—98 Download:  PDF (127  Kb, File info) Abstract: We describe in this paper the Bat Algorithm (BA) and a proposed enhancement using fuzzy and intuitionistic fuzzy systems to dynamically adapt BA parameters. BA is a metaheuristic algorithm inspired by the behavor of micro bats, which has been applied to different optimization problems obtaining good results. We propose a new method for dynamic parameter adaptation in the BA using Type-1, interval Type-2 fuzzy logic and intuitionistic fuzzy logic. The goal is improving the performance of the BA. Keywords: Dynamic parameter adaptation, Bat algorithm, Type-1 fuzzy logic, Type-2 fuzzy logic, Intuitionistic fuzzy logic. AMS Classification: 03E72. References: Olivas, F., Valdez, F. & Castillo, O. (2013) Particle swarm optimization with dynamic parameter adaptation using interval type-2 fuzzy logic for benchmark mathematical functions, 2013 World Congress on Nature and Biologically Inspired Computing (NaBIC), 12-14 Aug 2013, Fargo, ND. Olivas, F., Valdez, F. & Castillo, O. (2015) Dynamic parameter adaptation in Ant Colony Optimization using a fuzzy system for TSP problems, IFSA-EUSFLAT 2015, Gijón, Asturias, Spain, 765–770. Wang, G. & Guo, L. 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