Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem

Ozlem Senvar; Farouk Yalaoui; Frédéric Dugardin; Andres Felipe Bernate Lara

Conference papers

Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem

Ozlem Senvar ¹ Farouk Yalaoui ¹ Frédéric Dugardin ¹ Andres Felipe Bernate Lara ²

1 LOSI - Laboratoire d'Optimisation des Systèmes Industriels

ICD - Institut Charles Delaunay

2 OSIRIS, Soufflet Group, Nogent sur Seine

Document type :

Conference papers

Domain :

Computer Science [cs] / Operations Research [cs.RO]

Complete list of metadata

https://hal-utt.archives-ouvertes.fr/hal-02611088
Contributor : Jean-Baptiste VU VAN Connect in order to contact the contributor
Submitted on : Monday, May 18, 2020 - 9:53:01 AM
Last modification on : Sunday, June 26, 2022 - 1:40:33 AM

Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem

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Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem

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