Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

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 …

This study proposes a novel binary version of the artificial bee colony algorithm based on
genetic operators (GB-ABC) such as crossover and swap to solve binary optimization …

Artificial bee colony (ABC) algorithm has been introduced for solving numerical optimization
problems, inspired collective behavior of honey bee colonies. ABC algorithm has three …

The artificial bee colony (ABC) algorithm, which was inspired by the foraging and dance
behaviors of real honey bee colonies, was first introduced for solving numerical optimization …

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 …

Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

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

The artificial bee colony (ABC) algorithm is a swarm-based optimization technique proposed
for solving continuous optimization problems. The artificial agents of the ABC algorithm use …

The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …