摘要:AbstractIn this paper, the use of a metaheuristic based on a Multi-start Multi-level Evolutionary Local Search is studied for Group-Shop Scheduling Problem solving. It appears that only a few works exist in the literature on this problem. The proposed metaheuristic approach consists in a combination of neighbour generations and local searches. Different neighbourhoods are explored during the search process. The metaheuristic is evaluated on several instances from the literature for which it proves to be able to find state of the art solutions. Results are compared with the two main contributions from the literature. Considering the instances, several new best known solutions are obtained.