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.
CITATION STYLE
Nayak, J., Naik, B., Pelusi, D., & Krishna, A. V. (2020). A comprehensive review and performance analysis of firefly algorithm for artificial neural networks. In Studies in Computational Intelligence (Vol. 855, pp. 137–159). Springer Verlag. https://doi.org/10.1007/978-3-030-28553-1_7
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