Mimicking natural phenomenon of social insects, such as bird flocks and insect colonies by
merging randomness facility and some other simulation rules, are the core tasks of the …

In this paper, a novel firefly algorithm (FA) is presented to reduce the dependency on
parameters. The new FA algorithm is called dynamic step factor based FA (DSFFA), in which …

This paper intends to provide a modified firefly algorithm based on firefly algorithm and
improved particle swarm optimization. This firefly algorithm is a category of nature-enthused …

Increasing demand for energy and environmental concerns have increased importance of
energy-efficient transportation. In this manuscript, an energy-efficient train operation based …

Firefly algorithm (FA) belongs to the swarm intelligence algorithm, which is famous for its
strong exploration, a small number of parameter settings and effortless operation. However …

The standard firefly algorithm is suffered from three major drawbacks. Firstly, imbalanced
exploration and exploitation due to random initial solution generation. Secondly, the local …

Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …

Firefly algorithm (FA) is an efficient optimisation tool, which has been widely applied to
various optimisation problems. However, the standard FA still has some drawbacks. For …

Swarm intelligence optimization algorithm has been a hotspot study in the field of
computational intelligence and artificial intelligence in latest years, and its application has …

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 …