Population-based iterated local search for batch scheduling on parallel machines with incompatible job families, release dates, and tardiness penalties-Reference-Cited by-同舟云学术

Population-based iterated local search for batch scheduling on parallel machines with incompatible job families, release dates, and tardiness penalties

Published:2024-04-26 Issue: Volume: Page:
ISSN:1862-4472
Container-title:Optimization Letters
language:en
Short-container-title:Optim Lett

Author:

Medeiros José Maurício Fernandes^ORCID,Subramanian Anand,Queiroga Eduardo

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Universidade Federal da Paraíba

Fundação de Apoio á Pesquisa do Estado da Paraíba

Conselho Nacional de Desenvolvimento Científico e Tecnolígico

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11590-024-02116-x.pdf

Reference19 articles.

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2. Lawler, E.L.: A “pseudopolynomial’’ algorithm for sequencing jobs to minimize total tardiness. Ann. Discrete Math. 1, 331–342 (1977). https://doi.org/10.1016/S0167-5060(08)70742-8

3. Blazewicz, J., Ecker, K.H., Pesch, E., Schmidt, G., Sterna, M., Weglarz, J.: Handbook on Scheduling: From Theory to Practice. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-99849-7

4. Fowler, J.W., Möh, L.: A survey of scheduling with parallel batch (p-batch) processing. Eur. J. Oper. Res. 298, 1–24 (2022). https://doi.org/10.1016/j.ejor.2021.06.012

5. Vimala Rani, M., Mathirajan, M.: A state-of-art review and a simple meta-analysis on deterministic scheduling of diffusion furnaces in semiconductor manufactoring. Int. J. Prod. Res. 61(16), 5744–5771 (2022). https://doi.org/10.1080/00207543.2022.2102449