On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D G Pruvost, B Derbel, A Liefooghe, K Li, Q Zhang Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020 12102 …, 2020 | 21 | 2020 |
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis G Pruvost, B Derbel, A Liefooghe, S Verel, Q Zhang Proceedings of the 2020 genetic and evolutionary computation conference, 542-550, 2020 | 11 | 2020 |
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions B Derbel, G Pruvost, A Liefooghe, S Verel, Q Zhang Applied Soft Computing 136, 110061, 2023 | 5 | 2023 |
Enhancing MOEA/D with escape mechanisms B Derbel, G Pruvost, BW Hong 2021 IEEE Congress on Evolutionary Computation (CEC), 1163-1170, 2021 | 4 | 2021 |
A modular surrogate-assisted framework for expensive multiobjective combinatorial optimization G Pruvost, B Derbel, A Liefooghe, S Verel, Q Zhang | 2 | 2021 |
Moead-framework: a modular MOEA/D Python framework G Pruvost, B Derbel, A Liefooghe Journal of Open Source Software 7 (78), 2974, 2022 | 1 | 2022 |
Contributions to decomposition-based multi-objective optimization G Pruvost < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2021 | | 2021 |
Contributions à l’optimisation multi-objectif à base de décomposition G Pruvost Université de Lille, 2021 | | 2021 |
HAL Id: hal-03818749 G Pruvost, B Derbel, A Liefooghe | | |
Moead-framework: a modular MOEA/D python G Pruvost, B Derbel, A Liefooghe | | |