Solving Two-Stage Hybrid Flow Shop Using Climbing Depth-bounded Discrepancy Search

Abir Ben Hmida (1) , Mohamed Haouari (2) , Marie-José Huguet (1) , Pierre Lopez (1)

1 LAAS-MOGISA
2 ROI - Unité Recherche Opérationnelle pour l'Industrie

This paper investigates how to adapt a discrepancy-based search method to solve two-stage hybrid flowshop scheduling problems in which each stage consists of several identical machines operating in parallel. The objective is to determine a schedule that minimizes the makespan. We present an adaptation of the Climbing Depth-bounded Discrepancy Search (CDDS) method based on Johnson's rule and on dedicated lower bounds for the two-stage hybrid flow shop problem. We report the results of extensive computational experiments, which show that the proposed adaptation of the CDDS method solves instances in restrained CPU time and with high quality of makespan.

Mots clés: Scheduling; Two-stage Hybrid Flow Shop; Discrepancy Search Methods; CDDS; Lower Bounds; Heuristics.; Heuristics

Domaines: Recherche opérationnelle [math.OC]

Abir Ben Hmida, Mohamed Haouari, Marie-José Huguet, Pierre Lopez. Solving Two-Stage Hybrid Flow Shop Using Climbing Depth-bounded Discrepancy Search. Computers & Industrial Engineering, 2011, 60 (2), pp. 320-327. ⟨hal-00540266⟩