SciELO - Scientific Electronic Library Online

vol.7 issue3Total tardiness minimization in a flowshop with blocking in-process using tabu searchBalancing and rebalancing of assembly lines operated by self-managed work groups author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Gestão & Produção

Print version ISSN 0104-530XOn-line version ISSN 1806-9649


BUZZO, Walther Rogério  and  MOCCELLIN, João Vitor. Production scheduling in flow shop systems by using a hybrid genetic algorithm-simulated annealing heuristic. Gest. Prod. [online]. 2000, vol.7, n.3, pp.364-377. ISSN 0104-530X.

This paper deals with the Permutation Flow Shop Scheduling problem. Many heuristic methods have been proposed for this scheduling problem. A class of such heuristics finds a good solution by improving initial sequences for the jobs through search procedures on the solution space as Genetic Algorithm (GA) and Simulated Annealing (SA). A promising approach for the problem is the formulation of hybrid metaheuristics by combining GA and SA techniques so that the consequent procedure is more effective than either pure GA or SA methods. In this paper we present a hybrid Genetic Algorithm-Simulated Annealing heuristic for the minimal makespan flow shop sequencing problem. In order to evaluate the effectiveness of the hybridization we compare the hybrid heuristic with both pure GA and SA heuristics. Results from computational experience are presented.

Keywords : production scheduling; flow shop sequencing; hybrid metaheuristics.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf epdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License