A Convergence Study of Firefly Algorithm

https://doi.org/10.55529/ijrise.2317.25

Authors

  • D.K. Mishra Madhav Institute of Technology & Science, Gwalior
  • V. Shinde Madhav Institute of Technology & Science, Gwalior
  • S.K. Bharadwaj Madhav Institute of Technology & Science, Gwalior

Abstract

In Recent era various optimization dilemmas are usually resolved by applying nature stimulated and meta-heuristic method. Firefly algorithm is one of them wherein male fireflies are supervised by two randomly selected female fireflies to give attention on global search, which provides repaid exploration and exploitation. Firefly algorithm is a population based algorithm it is widely used due to its simple search process and easy way to implementation. In this paper, Lightning bug (Firefly) is applied over fourteen bench mark function including multi-model and uni-model for examine the global optimal solution. Convergence analysis has been carried out effectively after various simulation experiments.

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Published

2022-05-16

How to Cite

D.K. Mishra, V. Shinde, & S.K. Bharadwaj. (2022). A Convergence Study of Firefly Algorithm. International Journal of Research in Science & Engineering , 2(03), 17–25. https://doi.org/10.55529/ijrise.2317.25