Yassine Yaakoubi
RetourPublications
Cahiers du GERAD
fév. 2022
G-2022-03
Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Yassine Yaakoubi et Roussos Dimitrakopoulos
The simultaneous stochastic optimization of mining complexes (SSOMC) is a large-scale stochastic combinatorial optimization problem that simultaneously manag...
référence BibTeX
déc. 2020
G-2020-71
An improved integral column generation algorithm using machine learning for aircrew pairing
An improved integral column generation algorithm using machine learning for aircrew pairing
The crew pairing problem (CPP) is solved in the first step of the crew scheduling process. It consists of creating a set of pairings (sequence of flights, co...
référence BibTeX
fév. 2020
The crew pairing problem is generally modelled as a set partitioning problem where the flights have to be partitioned in pairings. A pairing is a sequence of...
référence BibTeX
avr. 2019
We present a case study of using machine learning classification algorithms to initialize a large scale commercial operations research solver (GENCOL) in the...
référence BibTeXArticles
nov. 2021
Adil Tahir, Frédéric Quesnel, Guy Desaulniers, Issmail El Hallaoui et Yassine Yaakoubi
Transportation Science, 55(6), 1411–1429, 2021
référence BibTeX
déc. 2020
Yassine Yaakoubi, François Soumis et Simon Lacoste-Julien
EURO Journal on Transportation and Logistics, 9(4), page 100020, 2020
référence BibTeX
Actes de conférence
fév. 2022
Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Yassine Yaakoubi et Roussos Dimitrakopoulos
AAAI-22 Workshop on Machine Learning for Operations Research (ML4OR), 1–8, 2022
référence BibTeX