Iterated hybrid metaheuristic algorithms for unrelated parallel machines problem with unequal ready times and sequence-dependent setup times

• Published in: International journal of advanced manufacturing technology Vol. 60; no. 5-8; pp. 693 - 705
• Main Author: Chen, Chun-Lung
• Format: Journal Article
• Language: English
• Published: London Springer-Verlag 01.05.2012; Springer Nature B.V
• Subjects: Algorithms; CAE) and Design; Computer-Aided Engineering (CAD; Engineering; Heuristic methods; Industrial and Production Engineering; Mechanical Engineering; Media Management; Original Article; Perturbation; Production scheduling; Search algorithms; Sequential scheduling; Setup times; Tabu search; Weighted number of tardy jobs; Sequence-dependent setup times; Iterated hybrid metaheuristic; Unrelated parallel machines; Unequal ready times
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-011-3623-9

The problem considered in this paper involves a set of independent jobs on unrelated parallel machines with sequence-dependent setup times and unequal ready times, and the objective is to minimize the weighted number of tardy jobs. Iterated hybrid metaheuristic algorithms are proposed to address this problem. The algorithms begin with effective initial solution generators to generate initial feasible solutions; then, hybrid metaheuristics are applied to improve the initial solutions, integrating the principles of the variable neighborhood descent approach and tabu search. If the search becomes trapped at a local optimum, a perturbation operator is developed to help the search escape. To evaluate the performance of the suggested algorithms, heuristic rules and iterated local search algorithms are examined and compared. Computational experimental results show that the proposed algorithms outperform the other heuristics.