Dipartimento di Informatica

Pubblicazioni selezionate

Parallel batching with multi-size jobs and incompatible job families
2022-01-01 Druetto, Alessandro; Pastore, Erica; Rener, Elena https://iris.unito.it/handle/2318/1874546

Column generation and rounding heuristics for minimizing the total weighted completion time on a single batching machine
2022-01-01 Druetto A.; Grosso A. https://iris.unito.it/handle/2318/1823419

The daily swab test collection problem
2022-01-01 Aringhieri R.; Bigharaz S.; Druetto A.; Duma D.; Grosso A.; Guastalla A. https://iris.unito.it/handle/2318/1879001

Polynomial-Size Models to Minimize Total Completion Time in a Parallel Batching Environment
2022-01-01 Druetto, Alessandro; Grosso, Andrea https://iris.unito.it/handle/2318/1878323

Polynomial-Size ILP formulations for the Total Completion Time Problem on a Parallel Batching Machine
2022-01-01 Alessandro Druetto; Andrea Grosso https://iris.unito.it/handle/2318/1878322

Parallel batching with multi-size jobs
2021-01-01 Alessandro Druetto, Elena Rener, Erica Pastore https://iris.unito.it/handle/2318/1795395

Column generation bounds on a network flow model to minimize the total weighted completion time for a single parallel batching machine
2021-01-01 Alessandro Druetto, Andrea Cesare Grosso https://iris.unito.it/handle/2318/1795394

Column generation for minimizing total completion time in a parallel-batching environment
2021-01-01 Alfieri A.; Druetto A.; Grosso A.; Salassa F. https://iris.unito.it/handle/2318/1823381

Anomaly Detection Techniques in the Gaia Space Mission Data
2021-01-01 Roberti M.; Druetto A.; Busonero D.; Cancelliere R.; Cavagnino D.; Gai M. https://iris.unito.it/handle/2318/1804597

Column generation for minimizing total completion time on a single machine with parallel batching
2019-01-01 Alfieri A.; Druetto A.; Grosso A.; Salassa F. https://iris.unito.it/handle/2318/1765367

A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data
2019-01-01 Druetto A.; Roberti M.; Cancelliere R.; Cavagnino D.; Gai M. https://iris.unito.it/handle/2318/1706809

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