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Erschienen in:
General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Applied to the Optimization of Mathematical Functions

verfasst von : Emer Bernal, Oscar Castillo, José Soria

Erschienen in: Nature-Inspired Design of Hybrid Intelligent Systems

Verlag: Springer International Publishing

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Abstract

In this paper, we describe an imperialist competitive algorithm with dynamic adjustment of parameters using fuzzy logic to adjust the Beta and Xi parameters. We are considering different fuzzy systems to measure the performance of the algorithm with six benchmark mathematical functions with different number of decades and performing 30 experiments for each case. The results demonstrate the efficiency of the fuzzy ICA algorithm in optimization problems and give us the guidelines for future work.

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Vorheriges Kapitel Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic
Nächstes Kapitel Modification of the Bat Algorithm Using Type-2 Fuzzy Logic for Dynamical Parameter Adaptation
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Metadaten
Titel
Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Applied to the Optimization of Mathematical Functions
verfasst von
Emer Bernal
Oscar Castillo
José Soria
Copyright-Jahr
2017
Buch
Nature-Inspired Design of Hybrid Intelligent Systems

Print ISBN: 978-3-319-47053-5

Electronic ISBN: 978-3-319-47054-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-47054-2_22