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Conference papers

A new efficient SAT formulation for learning NCS models: numerical results.

Khaled Belahcene 1 Oumeima Khaled Vincent Mousseau 1 Wassila Ouerdane 1 Ali Tlili
1 LGI - Laboratoire Génie Industriel - EA 2606
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01956128
Contributor : Wassila Ouerdane Connect in order to contact the contributor
Submitted on : Friday, December 14, 2018 - 9:13:26 PM
Last modification on : Saturday, May 8, 2021 - 3:40:22 AM

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  • HAL Id : hal-01956128, version 1

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LGI | CENTRALESUPELEC | UNIV-PARIS-SACLAY | LGI-MO | GS-ENGINEERING

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Khaled Belahcene, Oumeima Khaled, Vincent Mousseau, Wassila Ouerdane, Ali Tlili. A new efficient SAT formulation for learning NCS models: numerical results.. In the 4th workshop from multiple criteria Decision aid to Preference Learning (DA2PL'18), Nov 2018, Poznan, Poland. ⟨hal-01956128⟩

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