On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Ke Li 001; Qingfu Zhang 001 (EvoCOP, 2020)

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (GECCO, 2020)

Enhancing Moea/d with Escape Mechanisms. - Bilel Derbel; Geoffrey Pruvost; Byung-Woo Hong (CEC, 2021)

Contributions à l'optimisation multi-objectif à base de décomposition. (Contributions to multiobjective optimization based on decomposition). - Geoffrey Pruvost (2021)

Moead-framework: a modular MOEA/D Python framework. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe (J. Open Source Softw., 2022)

Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. - Bilel Derbel; Geoffrey Pruvost; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (Appl. Soft Comput., 2023)