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 …

Oct 10, 2023 · The Firefly Algorithm (FA) is a nature-inspired optimization algorithm based on the flashing behavior of fireflies. Fireflies use bioluminescence to communicate and attract mates.

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 …

Nov 14, 2020 · Firefly Algorithm (FA) is a meta-heuristic algorithm which is categorized as one of the fast-growing swarm intelligence algorithms. Based on the flashing pattern of light and their …

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.