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A Systematic Review on Firefly Algorithm: Past, Present, and Future - 2021

A Systematic Review on Firefly Algorithm: Past, Present, and Future

Survey paper on Firefly Algorithm: Past, Present, and Future

Research Area:  Metaheuristic Computing

Abstract:

Firefly Algorithm (FA) is one of the popular algorithm of Swarm Intelligence domain that can be used in most of the areas of optimization. FA and its variants are simple to implement and easily understood. These can be used to successfully solve the problems of different areas. Modification in original FA or hybrid FA algorithms are required to solve diverse range of engineering problems. In this paper, a comprehensive review of firefly algorithm is presented and various characteristics are discussed. The various variant of FA such as binary, multi-objective and hybrid with other meta-heuristics are discussed. The applications and performance evolution metric are presented. This paper provides the possible future research direction of FA.

Keywords:  
Firefly Algorithm
Swarm Intelligence
meta-heuristics

Author(s) Name:  Vijay Kumar & Dinesh Kumar

Journal name:  Archives of Computational Methods in Engineering

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s11831-020-09498-y

Volume Information:  volume 28, pages 3269–3291 (2021)