Artificial Bee Colony Algorithm with Uniform Mutation

Swarm intelligence systems are typically made up of a population of simple agents or bodies interacting locally with one another and with their environment. Particle swarm, Ant colony, Bee colony are examples of swarm intelligence. In the field of computer science and operations research, Artificial Bee Colony Algorithm (ABC) is an optimization algorithm, based on the intelligent foraging behavior of honey bee swarm. In this work, we present an extended form of ABC algorithm, where we have added mutation operator of Genetic algorithm (GA) in the classical ABC algorithm. We have used mutation operator of real coded genetic algorithm. We have added mutation operator after the employed bee phase of ABC algorithm. This paper presents some experiments on ABC with real coded mutation operator on benchmark optimization problems.