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Erschienen in:
Genetic Algorithm Optimization for Type-2 Non-singleton Fuzzy Logic Controllers Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm

verfasst von : Cinthya Solano-Aragón, Oscar Castillo

Erschienen in: Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Verlag: Springer International Publishing

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Abstract

Nature-inspired algorithms are more relevant today, such as PSO and ACO, which have been used in various types of problems such as the optimization of neural networks, fuzzy systems, control, and others showing good results. There are other methods that have been proposed more recently, the firefly algorithm is one of them, this paper will explain the algorithm and describe how it behaves. In this chapter the firefly algorithm was applied in optimizing benchmark functions and comparing the results of the same functions with genetic algorithms.

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Vorheriges Kapitel Optimization of Fuzzy Controllers Design Using the Bee Colony Algorithm
Nächstes Kapitel Optimization of Fuzzy Control Systems for Mobile Robots Based on PSO
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Metadaten
Titel
Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm
verfasst von
Cinthya Solano-Aragón
Oscar Castillo
Copyright-Jahr
2014
Buch
Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Print ISBN: 978-3-319-05169-7

Electronic ISBN: 978-3-319-05170-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-319-05170-3_13