Parallel meta2heuristics for the flexible job shop problem

Abstract

In this paper we consider a double-level metaheuristic optimization algorithm. The algorithm proposed here includes two major modules: the machine selection module which is executed sequentially, and the operation scheduling module executed in parallel. On each level a metaheuristic algorithm is used, so we call this method meta2heuristics. We carry out computational experiment using Graphics Processing Units (GPU). It was possible to obtain new the best known solutions for the benchmark instances from the literature. © 2010 Springer-Verlag.