Process / pipeline

Firefly Algorithm — Swarm Optimization via Bioluminescence

The Firefly Algorithm (FA), introduced by Xin-She Yang in 2008 and formally published in 2010, is a nature-inspired swarm metaheuristic that models the bioluminescent attraction behaviour of fireflies. Each candidate solution is a firefly whose brightness represents its objective-function value; dimmer fireflies move toward brighter ones with an attraction force that decays with distance, driving the swarm toward optima without gradient information.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Yang, X.S. (2010). Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), 78-84. DOI: 10.1504/IJBIC.2010.032124
  2. Yang, X.S. (2014). Nature-Inspired Optimization Algorithms. Elsevier. ISBN: 978-0-12-416743-8

Related methods

Referenced by

ScholarGateFirefly Algorithm (Firefly Algorithm (FA)). Retrieved 2026-06-04 from https://scholargate.app/en/optimization/firefly-algorithm