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The firefly algorithm (FA) (Qin et al., 2021) is a stochastic optimization algorithm that simulates a firefly using its luminescent properties to sense and move toward a firefly with a better location, thus achieving a location update process.
Feb 20, 2023 · In this tutorial, we learned about a metaheuristic algorithm called the firefly algorithm. First and foremost, we refreshed our knowledge about metaheuristics. Then, we looked into the implementation steps of the firefly algorithm. Finally, we discussed the applications and use cases of the firefly algorithm.
In mathematical optimization, the firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. [1]
Sep 29, 2020 · Firefly Algorithm (FA) is one of the popular algorithm of Swarm Intelligence domain that can be used in most of the areas of optimization. FA and its variants are simple to implement and easily understood. These can be used to successfully solve the problems of different areas.
Nov 14, 2020 · Firefly Algorithm (FA) is a metaheuristic algorithm which is categorized as one of the fast-growing swarm intelligence algorithms. Based on the flashing pattern of light and their intelligent behavior, FA can solve problems in all fields of optimization and is very useful for solving complex mathematical and engineering problems.
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...
The Firefly Algorithm is a metaheuristic optimization algorithm inspired by the social behavior of fireflies. It uses the concept of attraction based on brightness and global communication among particles to solve optimization problems effectively.
The firefly algorithm has three rules which are based on flashing characteristics of real fireflies. These are as follows: 1. All fireflies are unisex, and they will move toward more attractive and brighter ones regardless their sex. 2.
Aug 18, 2013 · Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse applications. In this paper, we will briefly review the fundamentals of firefly algorithm together with a selection of recent publications.
This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO).
