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Issue:InterCriteria analysis of bat algorithm with parameter adaptation using type-1 and interval type-2 fuzzy systems

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Title of paper: InterCriteria Analysis of Bat Algorithm with Parameter Adaptation Using Type-1 and Interval Type-2 Fuzzy Systems
Author(s):
Olympia Roeva
Institute of Biophysics and Biomedical Engineering, BAS, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
olympia@biomed.bas.bg
Jonathan Perez
Tijuana Institute of Technology,, Calzada Tecnologico s/n, Tijuana, Mexico
tecjonathan@gmail.com
Fevrier Valdez
Tijuana Institute of Technology,, Calzada Tecnologico s/n, Tijuana, Mexico
fevrier@tectijuana.mx
Oscar Castillo
Tijuana Institute of Technology,, Calzada Tecnologico s/n, Tijuana, Mexico
ocastillo@tectijuana.mx
Presented at: 20th International Conference on Intuitionistic Fuzzy Sets, 2–3 September 2016, Sofia, Bulgaria
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 22, 2016, Number 3, pages 91—105
Download:  PDF (132  Kb, File info)
Abstract: In this paper, InterCriteria Analysis (ICrA) is considered for analysis of the results from application of Type-1 and Interval Type-2 fuzzy logic to dynamic adaptation of Bat Algorithm (BA) parameters. BA is applied to different optimization problems – five benchmark functions. The modification of the BA integrating Type-1 and Interval Type-2 fuzzy logic systems was successfully applied. The both fuzzy systems perform well even the increase of the benchmark functions complexity. Obtained results from ICrA show that the fuzzy systems, Type-1 and Interval Type-2, have similar performance in dynamic BA parameter adaptation.
Keywords: InterCriteria Analysis, Type-1 Fuzzy System, Interval Type-2 Fuzzy System, Bat Algorithm.
AMS Classification: 03E72.
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