This paper presents a simple way of combining inference with stochastic search for solving constraint satisfaction problems. The approach makes use of an evolutionary algorithm for search assisted by an inference algorithm, the variable elimination procedure. The hybrid algorithm obtained is adapted in such way that a balance between exploitation and exploration is preserved. The results are presented for the Max-CSP optimization task.
This article is authored also by Synbrain data scientists and collaborators. READ THE FULL ARTICLE