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A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks

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Nature-Inspired Computation in Data Mining and Machine Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 855))

Abstract

After the successful (yet continuing) era of both evolutionary and swarm based optimization algorithm, a new class of optimizations such as nature inspired optimization algorithms came into limelight. Although swarm intelligence based algorithms are a subset of nature inspired methods, but some methods are purely based on nature and its phenomenon. However, one of a leading swarm based algorithm is firefly optimization and has been a keen interest for solving many real world complex problems. In this chapter, focus has been attended for various applications of integrated firefly algorithm with neural network. Also, it is true that the research area of neural network is quite diversified and too vast. Since its inception, firefly algorithm has been efficiently used in neural network research to solve diversified applications. This chapter provides the detailed study about the applications and further, it discusses some of the major future challenges.

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Author information

Authors and Affiliations

  1. Department of Computer Science Engineering, Sri Sivani College of Engineering, Srikakulam, AP, 532410, India

    Janmenjoy Nayak & A. Vamsi Krishna

  2. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, 768018, Odisha, India

    Bighnaraj Naik

  3. Faculty of Communication Sciences, University of Teramo, Coste Sant’Agostino Campus, Teramo, Italy

    Danilo Pelusi

Authors
  1. Janmenjoy Nayak
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  2. Bighnaraj Naik
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  3. Danilo Pelusi
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  4. A. Vamsi Krishna
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Corresponding author

Correspondence to Bighnaraj Naik .

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Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  2. College of Science, Xi’an Polytechnic University, Xi’an, China

    Xing-Shi He

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Nayak, J., Naik, B., Pelusi, D., Krishna, A.V. (2020). A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks. In: Yang, XS., He, XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-030-28553-1_7

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