The paper presents a new optimization algorithm inspired by group decision-making
process of honey bees. The honeybees search for the best nest site among many possible …

The Artificial Bee Colony (ABC) algorithm is inspired by the behavior of honey bees. The
algorithm is one of the Swarm Intelligence algorithms explored in recent literature. ABC is an …

This paper proposes a new version of the Artificial Bee Colony (ABC) optimization algorithm
based on the natural nest-site selection behavior of honey bee swarms. The algorithm offers …

Swarm intelligence and group behavior of honey bees was the inspiration basis of some
metaheuristics. The first one is the Artificial Bee Colony (ABC) algorithm which was …

Artificial Bee Colony (ABC) optimization algorithm has captured much attention of
researchers from various fields, in recent times. Moreover, various comparative studies …

The artificial bee colony optimization (ABC) is a population based algorithm for function
optimization that is inspired by the foraging behaviour of bees. The population consists of …

Artificial Bee Colony (ABC) algorithm is a powerful optimization algorithm that simulates the
task division and self-organization abilities of honey bees in their foraging activity. ABC …

Abstract Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on a
particular intelligent behavior of honeybee swarms. The standard ABC has been utilized to …

Abstract Artificial Bee Colony (ABC) is one of the latest and emerging swarm intelligence
algorithms. Though, there are some areas where ABC works better than other optimization …

As one of the most recent popular swarm intelligence techniques, artificial bee colony
algorithm is poor at exploitation and has some defects such as slow search speed, poor …