A new hybrid algorithm for optimization based on Artificial Bee Colony and Extremal Optimization

Abstract

Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. ABC has gained increasing attention in tackling optimization problems. Its further superiority when hybridized with other techniques is also shown. In this paper a novel hybrid artificial bee colony is proposed in order to solve optimization problems more efficiently, accurately and reliably. During the course of evolvement Extremal Optimization is used to improve the search performance and this makes proposed algorithms have more powerful exploitation capabilities. Simulation and comparisons based on several well-studied benchmarks demonstrate the effectiveness, efficiency and robustness of the proposed algorithms