Firefly Algorithm (FA) is a bio-inspired algorithm simulating the flashing behavior of fireflies. In original algorithm, all the fireflies are unisex and only the flashing behavior is simulated. This paper presents a novel hybrid firefly algorithm (HFA) adding mating behavior in original firefly algorithm. The new algorithm is compared with FA and other three well-known bio-inspired algorithms on fifteen benchmark functions. The experimental results show HFA has a good optimizing ability on most benchmark functions and is proved to have significant improvement over canonical FA and several other comparison algorithms
As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters, which ...
Nature inspired meta-heuristic algorithms studies the emergent collective intelligence of groups of ...
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been ...
The field of nature inspired computing and optimization techniques have evolved to solve the difficu...
The firefly algorithm (FA) is a new and powerful algorithm for optimization. However, it has the dis...
International audienceIn this article, two hybrid schemes using the Bees Algorithm (BA) and the Fire...
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...
Firefly algorithm is one of the new metaheuristic algorithms for optimization problems. The algorith...
An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve...
Firefly Algorithm (FA) is a stochastic optimization algorithm inspired by the swarm intelligence. It...
Many metaheuristic algorithms are nature-inspired, and most are population-based. Particle swarm opt...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
This paper presents novel modifications to the Firefly Algorithm (FA) that manipulate the functional...
As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters, which ...
Nature inspired meta-heuristic algorithms studies the emergent collective intelligence of groups of ...
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been ...
The field of nature inspired computing and optimization techniques have evolved to solve the difficu...
The firefly algorithm (FA) is a new and powerful algorithm for optimization. However, it has the dis...
International audienceIn this article, two hybrid schemes using the Bees Algorithm (BA) and the Fire...
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...
Firefly algorithm is one of the new metaheuristic algorithms for optimization problems. The algorith...
An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve...
Firefly Algorithm (FA) is a stochastic optimization algorithm inspired by the swarm intelligence. It...
Many metaheuristic algorithms are nature-inspired, and most are population-based. Particle swarm opt...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper inten...
This paper presents novel modifications to the Firefly Algorithm (FA) that manipulate the functional...
As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters, which ...
Nature inspired meta-heuristic algorithms studies the emergent collective intelligence of groups of ...
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that has been ...