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2020 – today
- 2025
[j1]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem. Int. Trans. Oper. Res. 32(1): 117-143 (2025)- 2024
- [b1]Clément Legrand:
Solution-based Knowledge Discovery in Metaheuristics for Bi-Objective Vehicle Routing Problems. (Extraction de connaissance pour les métaheuristiques à partir des solutions appliquée aux problèmes de tournées de véhicules bi-objectif). University of Lille, France, 2024 - [c5]Clément Legrand
, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW. MIC (1) 2024: 62-77 - [c4]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Solution-Based Knowledge Discovery for Multi-objective Optimization. PPSN (4) 2024: 83-99 - 2023
- [c3]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. EMO 2023: 462-475 - 2022
- [c2]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows. MIC 2022: 45-60 - [c1]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Enhancing MOEA/D with learning: application to routing problems with time windows. GECCO Companion 2022: 495-498
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