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Lucien Mousin
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2020 – today
- 2021
- [c8]Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan
, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen:
A hybrid CP/MOLS approach for multi-objective imbalanced classification. GECCO 2021: 723-731 - [c7]Sylvain Clay, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan
:
CLAHC - custom late acceptance hill climbing: first results on TSP. GECCO Companion 2021: 1970-1973 - 2020
- [c6]Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci
, Laetitia Jourdan:
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC 2020: 1-8 - [c5]Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen
, Laetitia Jourdan:
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. ICTAI 2020: 1241-1248 - [c4]Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci
, Laetitia Jourdan:
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. LION 2020: 151-157
2010 – 2019
- 2019
- [i1]Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens:
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem. CoRR abs/1903.09035 (2019) - 2018
- [b1]Lucien Mousin:
Extraire et exploiter la connaissance pour mieux optimiser. (Extract and exploit knowledge for optimization). University of Lille, France, 2018 - 2017
- [c3]Lucien Mousin, Marie-Eléonore Kessaci
, Clarisse Dhaenens
:
A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem. LION 2017: 196-209 - 2016
- [c2]Lucien Mousin, Laetitia Jourdan
, Marie-Éléonore Kessaci-Marmion
, Clarisse Dhaenens
:
Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search. LION 2016: 141-156 - 2015
- [c1]Sophie Jacquin, Lucien Mousin, Igor Machado Coelho, El-Ghazali Talbi, Laetitia Jourdan
:
A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem. EMO (1) 2015: 381-395
Coauthor Index
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