We consider a design problem for cellular manufacturing systems. In order to improve the efficiency of the designed system, three optimization problems are considered jointly in the same optimization procedure: cell formation, workload balancing and cell layout. A hybrid metaheuristic algorithm with genetic and bacterial operators is developed to optimize the performances of the designed cellular manufacturing system. The results obtained on benchmark problems are discussed.