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2017 | OriginalPaper | Chapter

Interval Type-2 Fuzzy Logic for Parameter Adaptation in the Gravitational Search Algorithm

Authors : Beatriz González, Fevrier Valdez, Patricia Melin

Published in: Advances in Computational Intelligence

Publisher: Springer International Publishing

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Abstract

In this paper we are presenting a modification of the Gravitational Search Algorithm (GSA) using type-2 fuzzy logic to dynamically change the alpha parameter and provide a different gravitation and acceleration values to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantages of the proposed approach.

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previous chapter A Study of Parameter Dynamic Adaptation with Fuzzy Logic for the Grey Wolf Optimizer Algorithm
next chapter Water Cycle Algorithm with Fuzzy Logic for Dynamic Adaptation of Parameters
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Metadata
Title
Interval Type-2 Fuzzy Logic for Parameter Adaptation in the Gravitational Search Algorithm
Authors
Beatriz González
Fevrier Valdez
Patricia Melin
Copyright Year
2017
Book
Advances in Computational Intelligence

Print ISBN: 978-3-319-62433-4

Electronic ISBN: 978-3-319-62434-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-62434-1_20

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