Documents publiés en "2024"

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Aloise, D., Moine, R., Ribeiro, C. C., & Jalbert, J. (2024). First-improvement or best-improvement? An in-depth local search computational study to elucidate a dominance claim. (Rapport technique n° G-2024-47). Lien externe

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Cocha, C., Pessoa, B. P. S., Aloise, D., & Cabral, L. A. (2024). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 31(3), 1720-1735. Disponible

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Jeske, M., Sanso, B., Aloise, D., & Nascimento, M. C.V. (2024). Received Signal Strength Indicator Prediction for Mesh Networks in a Real Urban Environment Using Machine Learning. IEEE Access, 17 pages. Lien externe

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Liang, J., Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). Dynamic rebalancing for Bike-sharing systems under inventory interval and target predictions. EURO Journal on Transportation and Logistics, 13, 19 pages. Lien externe

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Okano, E. Y., Aloise, D., & Nascimento, M. C. V. (novembre 2024). Topological Analysis of Graphs for Comparing Sets of Time Series: A Case Study with Hospital Data [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). Lien externe

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Pereira, J. H. A., Pessoa, B. J. S., Rocha, C., & Aloise, D. (novembre 2024). Meta-heurística vns aplicada a um problema de sequenciamento justo [Communication écrite]. LVI Simpósio Brasileiro de Pesquisa Operacional, Fortaleza, Ceará, Brazil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 56(20). Lien externe

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Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. Omega, 129, 103141 (15 pages). Disponible

Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems. Transportation Engineering, 16, 100226 (9 pages). Disponible

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Ton, K. T., Aloise, D., & Contardo, C. (2024). On Removing Diverse Data for Training Machine Learning Models. Dans Rassias, T. M., & Pardalos, P. M. (édit.), Mathematical Analysis, Differential Equations and Applications (Vol. 11, p. 761-783). Lien externe