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Abstrakty
We consider an extension of Lagrangian relaxation methods for solving the total weighted tardiness scheduling problem on a single machine. First, we investigate a straightforward relaxation method and decompose it into upper and lower subproblems. For the upper subproblem we propose an alternative solving method in the form of a local search metaheuristic. We also introduce a scaling technique by arbitrary numbers to reduce the complexity of the problem and confront it with greatest common divisor scaling. Next, we propose a novel alternative relaxation approach based on aggregating constraints. We discuss the properties and implementation of this new approach and a technique to further reduce its computational complexity. We perform a number of computer experiments on instances based on the OR-Library generation scheme to illustrate and ascertain the numerical properties of the proposed methods. The results indicate that for larger instances the proposed alternative relaxation and scaling approaches have a much better convergence rate with little to no decrease in solution quality. The results also show that the proposed local-search metaheuristic is a viable alternative to the existing solving methods.
Rocznik
Tom
Strony
235--251
Opis fizyczny
Bibliogr. 38 poz., rys., tab., wykr.
Twórcy
autor
- Department of Control Systems and Mechatronics, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
autor
- Department of Control Systems and Mechatronics, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
autor
- Department of Computer Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
autor
- Department of Computer Science and Management, Koszalin University of Technology, Śniadeckich 2, 75-453 Koszalin, Poland
autor
- Department of Computer Science and Management, Koszalin University of Technology, Śniadeckich 2, 75-453 Koszalin, Poland
Bibliografia
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- [4] Bilge, Ü., Kurtulan, M. and Kıraç, F. (2007). A tabu search algorithm for the single machine total weighted tardiness problem, European Journal of Operational Research 176(3): 1423-1435, DOI: 10.1016/j.ejor.2005.10.030.
- [5] Bragin, M.A., Luh, P.B., Yan, J.H., Yu, N. and Stern, G.A. (2015). Convergence of the surrogate Lagrangian relaxation method, Journal of Optimization Theory and Applications 164(1): 173-201, DOI: 10.1007/s10957-014-0561-3.
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- [21] Idzikowski, R. (2023). LagrangianRelaxation, Code and experimental results, https://github.com/ridzikowski/LagrangianRelaxation.
- [22] Koulamas, C. (2010). The single-machine total tardiness scheduling problem: Review and extensions, European Journal of Operational Research 202(1): 1-7, DOI: 10.1016/j.ejor.2009.04.007.
- [23] Lawler, E.L. (1977). A “pseudopolynomial” algorithm for sequencing jobs to minimize total tardiness, Annals of Discrete Mathematics 1: 331-342, DOI: 10.1016/S0167-5060(08)70742-8.
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- [31] Simanchev, R.Y. and Urazova, I. (2023). Integer models for the total weighted tardiness problem on a single machine, International Conference on Mathematical Optimization Theory and Operations Research, Ekaterinburg, Russia, pp. 176-187, DOI: 10.1007/978-3-031-43257-6_14.
- [32] Song, M., Cheng, L. and Lu, B. (2024). Solving the multi-compartment vehicle routing problem by an augmented Lagrangian relaxation method, Expert Systems with Applications A 237: 121511, DOI: 10.1016/j.eswa.2023.121511.
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- [35] Zakharova, Y. (2023). Hybrid evolutionary algorithm with optimized operators for total weighted tardiness problem, International Conference on Mathematical Optimization Theory and Operations Research, Ekaterinburg, Russia, pp. 224-238, DOI: 10.1007/978-3-031-35305-5_15.
- [36] Zhang, C., Gao, Y., Yang, L., Gao, Z. and Qi, J. (2020). Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation, Transportation Research B: Methodological 134: 64-92, DOI: 10.1016/j.trb.2020.02.008.
- [37] Zhao, Q. and Yuan, J. (2023). Single-machine primary-secondary scheduling with total tardiness being the primary criterion, Journal of Scheduling 27(3): 1-10, DOI: 10.1007/s10951-023-00793-7.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
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