Machine Learning approach for single machine scheduling problems

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dc.contributor.authorBENNAOUI, BOUCHRA
dc.contributor.authorMANNED, MAROUA
dc.contributor.authorReporter: HEMMAK, Allaoua
dc.date.accessioned2022-07-20T11:49:30Z
dc.date.available2022-07-20T11:49:30Z
dc.date.issued2022-06-10
dc.description.abstractMachine learning approach for single machine scheduling problems This theme aim to design a machine-learning algorithm to tackle a NP-hard single machine scheduling problems with big size. This approach consists on two parts: the firs par “learning” aims to learn the system by supplying the system with a significant number of small size instances solved by an exact method as dynamic programming. The second step consist to design a machine learning approach to tackle some big size instances, as we go along, even these instances supply our system to improve its efficiently. A comparison with chosen metaheuristic is needed to justify the contribution.en_US
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/30845
dc.language.isoenen_US
dc.publisherUNIVERSITY of M'SILAen_US
dc.subjectMachine Learning; Single Machine Scheduling; Optimization; Dynamic Programming.en_US
dc.titleMachine Learning approach for single machine scheduling problemsen_US
dc.typeThesisen_US

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