Hybridization of Artificial Bee Colony Algorithm with Estimation of Distribution Algorithm for Minimum Weight Dominating Set Problem

Abstract

In this paper, we have proposed a hybrid approach combining Artificial Bee Colony Algorithm (ABC) with Estimation of Distribution Algorithm (EDA) for Minimum Weight Dominating Set (MWDS) problem. By combining ABC algorithm with EDA, we are able to guide the search process toward more promising solutions in comparison with any of the two constituent approaches. We have also used a solution improvement method which further trims down the solution in order to minimize its fitness value. Computational results on standard benchmark instances of the MWDS problem show that the hybrid ABC-EDA performs as good as or better than existing approaches in terms of solution quality on most of the instances.