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In mathematical optimization, the firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies.
Firefly Algorithm. The firefly algorithm (FA) is a nature-inspired metaheuristic optimization algorithm developed by Xin-She Yang that is inspired by the flashing behavior of fireflies (Yang, 2008), originally designed to solve continuous optimization problems (Lukasik and Żak, 2010; From: Swarm Intelligence and Bio-Inspired Computation, 2013
Feb 20, 2023 · Learn about the firefly algorithm, a metaheuristic optimization technique based on the flashing behavior of fireflies. See the pseudocode, implementation steps and examples of the algorithm, and explore its use cases in various fields.
Sep 29, 2020 · This paper presents a comprehensive review of firefly algorithm (FA), a meta-heuristic optimization technique inspired by firefly behaviour. It discusses the characteristics, variants, applications, and future directions of FA and its hybrid versions.
- Vijay Kumar, Dinesh Kumar
- 2021
Dec 1, 2013 · The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been applied in almost all areas of optimization, as well as engineering practice. Many problems from various areas have been successfully solved using the firefly algorithm and its variants.
- Iztok Fister, Xin-She Yang, Janez Brest
- 2013
Apr 9, 2020 · This presentation introduces the standard Firefly Algorithm (FA), which also contains the links to Matlab code (downloadable) and the numerical simulations (Youtube). Content uploaded by...
Oct 10, 2017 · Firefly algorithm is a nature-inspired optimization algorithm and there have been significant developments since its appearance about 10 years ago. This chapter summarizes the latest developments about the firefly algorithm and its variants as well as their diverse applications. Future research directions are also highlighted. Download chapter PDF.
