Articles de conférence
January 2023
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions
Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang
Journal of Applied Soft Computing
[PDF]
October 2022
Moead-framework: a modular MOEA/D Python framework
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe
Journal of Open Source Software
[PDF]
June 2021
Enhancing MOEA/D with Escape Mechanisms
Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong
IEEE Congress on Evolutionary Computation (IEEE CEC 2021)
Cite the paper [BIB File] - [PDF]
July 2020
Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang
Genetic and Evolutionary Computation Conference (GECCO 2020)
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April 2020
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, vol 12102. Springer, Cham
Cite the paper [BIB File] - [PDF] - [slides] - [Video]
Thèse
2018 - 2021
University of Lille / Inria
Machine Learning and Decomposition Techniques for Large-scale Multi-objective Optimization