On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups (2025)
- Authors:
- USP affiliated authors: NAGANO, MARCELO SEIDO - EESC ; ROLIM, GUSTAVO ALENCAR - EESC ; TOMAZELLA, CAIO PAZIANI - ICMC
- Unidades: EESC; ICMC
- DOI: 10.1016/j.ejor.2025.04.042
- Subjects: ENGENHARIA DE PRODUÇÃO; ESCALONAMENTO MULTIDIMENSIONAL; HEURÍSTICA
- Keywords: Metaheuristics; Reinforcement learning; Simulated annealing; Adaptive large neighborhood search; Stochastic local search
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Amsterdam, The Netherlands
- Date published: 2025
- Source:
- Título: European Journal of Operational Research
- ISSN: 0377-2217
- Volume/Número/Paginação/Ano: v. 326, n. 2, p. 220-233, Oct. 2025
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ROLIM, Gustavo Alencar e TOMAZELLA, Caio Paziani e NAGANO, Marcelo Seido. On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups. European Journal of Operational Research, v. 326, n. 2, p. 220-233, 2025Tradução . . Disponível em: https://dx.doi.org/10.1016/j.ejor.2025.04.042. Acesso em: 29 dez. 2025. -
APA
Rolim, G. A., Tomazella, C. P., & Nagano, M. S. (2025). On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups. European Journal of Operational Research, 326( 2), 220-233. doi:10.1016/j.ejor.2025.04.042 -
NLM
Rolim GA, Tomazella CP, Nagano MS. On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups [Internet]. European Journal of Operational Research. 2025 ; 326( 2): 220-233.[citado 2025 dez. 29 ] Available from: https://dx.doi.org/10.1016/j.ejor.2025.04.042 -
Vancouver
Rolim GA, Tomazella CP, Nagano MS. On the integration of reinforcement learning and simulated annealing for the parallel batch scheduling problem with setups [Internet]. European Journal of Operational Research. 2025 ; 326( 2): 220-233.[citado 2025 dez. 29 ] Available from: https://dx.doi.org/10.1016/j.ejor.2025.04.042 - Designing state-of-the-art metaheuristics: what have we learned from the parallel-machine scheduling problem with setups?
- Formulations and an adaptive large neighborhood search for just-in-time scheduling of unrelated parallel machines with a common due window
- Effective heuristics and an iterated greedy algorithm to schedule identical parallel machines subject to common restrictive due windows
- Structural properties and algorithms for earliness and tardiness scheduling against common due dates and windows: A review
- A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem
- An improved lower bound for the blocking permutation flow shop with total completion time criterion
- Heuristics and stochastic local search for just-in-time scheduling of parallel machines against common restrictive due windows
- Modeling Approaches and Solution Methods for the Lot-Sizing and Raw Material Procurement Problem
- Dynamic Programming algorithms and their applications in machine scheduling: a review
- A new efcient heuristic method for minimizing the total tardiness in a no-idle permutation fow shop
Informações sobre o DOI: 10.1016/j.ejor.2025.04.042 (Fonte: oaDOI API)
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