In this paper, a novel swarm intelligent algorithm is proposed, known as the fitness
dependent optimizer (FDO). The bee swarming the reproductive process and their collective …

Numerous particle swarm optimization (PSO) algorithms have been developed for solving
numerical optimization problems in recent years. However, most of existing PSO algorithms …

Inspired by the intelligent foraging behavior of honey bees, the artificial bee colony algorithm
(ABC), a swarm-based stochastic optimization method, has shown to be very effective and …

Artificial bee colony (ABC) algorithm is a relatively new paradigm of swarm intelligence
based optimization technique, which has attracted a lot of attention for its simple structure …

Artificial bee colony algorithm (ABC) is a relatively new optimization technique which has
been shown to be competitive to other population-based algorithms. However, there is still …

Artificial bee colony algorithm (ABC), which is inspired by the foraging behavior of honey
bee swarm, is a biological-inspired optimization. It shows more effective than genetic …

The artificial bee colony algorithm (ABC) is a new stochastic and population-based
optimization method, which has been attracting a great deal of attention, due to its simple …

As a popular global optimization algorithm, artificial bee colony (ABC) has strong search
ability and simple concept. However, ABC has some deficiencies. The exploitation ability of …

The optimization algorithms which are inspired from intelligent behavior of honey bees are
among the most recently introduced population based techniques. In this paper, a novel …

Artificial bee colony (ABC) algorithm is one of the branches of swarm intelligence. Several
studies proved that the original ABC has powerful exploration and weak exploitation …