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Optimization of Benchmark Mathematical Functions Using the Firefly Algorithm with Dynamic Parameters

  • Cinthya Solano-Aragón
  • Oscar Castillo
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 574)

Abstract

Nature-inspired algorithms are more relevant today, such as PSO and ACO, which have been used in several types of problems such as the optimization of neural networks, fuzzy systems, control, and others showing good results [1, 2, 3, 4, 5]. 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 paper the firefly algorithm was applied in optimizing benchmark functions and comparing the results of the same functions with genetic algorithms.

Keywords

Genetic algorithms Firefly algorithm Benchmark functions Optimization 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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