This article compares the original firefly-Inspired algorithm (FA) against two versions suggested by the authors. It was found that by using some modifications proposed in this document, the convergence time of the algorithm is reduced, while increasing its precision (i.e. it is able to converge with less error). Thus, it is strongly recommended that these variants are further analyzed, especially for the solution of systems of nonlinear equations, since the exploratory test that has been performed yielded good results (i.e. the roots found by the algorithm were quite close to the theoretical one). Moreover, it was also found that the algorithm is dependent on the swarm size, especially when dealing with planar regions
This paper reviews the applications of Firefly Algorithm (FA) in various domain of optimization pro...
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional a...
Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-She Yang in ...
Intelligent optimization algorithms based on swarm principles have been widely researched in recent ...
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional a...
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been ...
Firefly Algorithm (FA) is a stochastic optimization algorithm inspired by the swarm intelligence. It...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Abstract. Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-Sh...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Firefly Algorithm (FA) is a powerful swarm intelligence algorithm inspired by the flash phenomenon o...
Firefly Algorithm (FA) is a powerful swarm intelligence algorithm inspired by the flash phenomenon o...
Within the field of Computer Science, there exists a category called Optimization. Optimization can ...
Global continuous optimization is populated by its implementation in many real-world applications. S...
Global optimization methods play an important role to solve many real-world problems. However, the i...
This paper reviews the applications of Firefly Algorithm (FA) in various domain of optimization pro...
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional a...
Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-She Yang in ...
Intelligent optimization algorithms based on swarm principles have been widely researched in recent ...
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional a...
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been ...
Firefly Algorithm (FA) is a stochastic optimization algorithm inspired by the swarm intelligence. It...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Abstract. Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-Sh...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Firefly Algorithm (FA) is a powerful swarm intelligence algorithm inspired by the flash phenomenon o...
Firefly Algorithm (FA) is a powerful swarm intelligence algorithm inspired by the flash phenomenon o...
Within the field of Computer Science, there exists a category called Optimization. Optimization can ...
Global continuous optimization is populated by its implementation in many real-world applications. S...
Global optimization methods play an important role to solve many real-world problems. However, the i...
This paper reviews the applications of Firefly Algorithm (FA) in various domain of optimization pro...
Global optimization is challenging to solve due to its nonlinearity and multimodality. Traditional a...
Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-She Yang in ...