Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem - Université de technologie de Troyes Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

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

Fichier non déposé

Dates et versions

hal-02611088 , version 1 (18-05-2020)

Identifiants

  • HAL Id : hal-02611088 , version 1

Citer

Ozlem Senvar, Farouk Yalaoui, Frédéric Dugardin, Andres Felipe Bernate Lara. Data Mining Approaches for the Methods to Minimize Total Tardiness in Parallel Machine Scheduling Problem. MIM 2016, Jun 2016, Troyes, France. ⟨hal-02611088⟩

Collections

CNRS UTT LOSI
8 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More