Local search and trajectory metaheuristics for the flexible job shop scheduling problem with nonlinear routes and position-based learning (2026)
- Authors:
- USP affiliated authors: BIRGIN, ERNESTO JULIAN GOLDBERG - IME ; RONCONI, DEBORA PRETTI - EP ; ARAÚJO, KENNEDY ANDERSON GUIMARÃES DE - IME
- Unidades: IME; EP
- DOI: 10.1007/s10951-025-00869-6
- Assunto: HEURÍSTICA
- Keywords: Scheduling; Flexible job shop; Routing flexibility; Nonlinear routes; Position-based learning effect; Makespan; Trajectory metaheuristics
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Scheduling
- ISSN: 1094-6136
- Volume/Número/Paginação/Ano: Publicado online em 2026
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
ARAUJO, Kennedy Anderson Guimarães de e BIRGIN, Ernesto Julian Goldberg e RONCONI, Débora Pretti. Local search and trajectory metaheuristics for the flexible job shop scheduling problem with nonlinear routes and position-based learning. Journal of Scheduling, 2026Tradução . . Disponível em: https://doi.org/10.1007/s10951-025-00869-6. Acesso em: 02 abr. 2026. -
APA
Araujo, K. A. G. de, Birgin, E. J. G., & Ronconi, D. P. (2026). Local search and trajectory metaheuristics for the flexible job shop scheduling problem with nonlinear routes and position-based learning. Journal of Scheduling. doi:10.1007/s10951-025-00869-6 -
NLM
Araujo KAG de, Birgin EJG, Ronconi DP. Local search and trajectory metaheuristics for the flexible job shop scheduling problem with nonlinear routes and position-based learning [Internet]. Journal of Scheduling. 2026 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.1007/s10951-025-00869-6 -
Vancouver
Araujo KAG de, Birgin EJG, Ronconi DP. Local search and trajectory metaheuristics for the flexible job shop scheduling problem with nonlinear routes and position-based learning [Internet]. Journal of Scheduling. 2026 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.1007/s10951-025-00869-6 - Relax-and-fix heuristics applied to a real-world lot sizing and scheduling problem in the personal care consumer goods industry
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