Cooperative discrete differential evolution algorithms for triangulation of bayesian networks

Abstract

In this paper, for solving the problem of triangulating Bayesian networks, we propose a discrete differential evolution framework incorporating cooperative coevolution mechanism, and provide three schemes to group variables. The cooperative discrete differential evolution algorithms using these grouping schemes show much better performance than existing swarm intelligence methods in experiments on representative benchmarks.