Guided artificial bee colony algorithm

摘要

Artificial bee colony algorithm is an optimization algorithm based on a particular intelligent behaviour of honeybee swarms. In this paper we present a novel algorithm named GABC which integrates artificial bee colony algorithm (ABC) with self-adaptive guidance adjusted for engineering optimization problems. The novel algorithm speeds up the convergence and improves the algorithm's exploitation. We tested our guided algorithm on four standard engineering benchmark problems. The experimental results show that GABC algorithm can outperform ABC algorithm in most of the cases.