Firefly algorithm In mathematical optimization, the firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies.

The Firefly algorithm (FA) is defined as a nature-inspired optimization algorithm based on the flashing patterns and behavior of fireflies, which involves fireflies being attracted to brighter …

Jan 25, 2023 · Feature selection and fault detection: Firefly algorithm has been used for discriminative feature selection in classification and regression models to support decision …

Sep 29, 2020 · 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 …

May 28, 2025 · The Firefly Algorithm (FA) is a nature-inspired optimization technique used in computational mathematics to solve complex problems. It is based on the flashing behavior of …

Firefly algorithm was developed by Xin-She Yang in 2008 [1], based on inspiration from the natural behavior of tropical fireflies. FA tries to mimic the flashing pattern and attraction …

The Firefly Algorithm is a nature-inspired metaheuristic optimization algorithm that falls under the category of Swarm Intelligence, which is a subfield of Computational Intelligence.

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).

Feb 23, 2024 · Firefly algorithm is another metaheuristic approach for global optimization. The method was developed by Xin-She Yang (2008) based on the behavior of flashing fireflies to …

The firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behaviour of fireflies. The primary purpose for a firefly’s flash is to act as a signal system to …