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2020 – today
- 2024
[c7]Jon Díaz
, Gabriel Duflo, Jenny Fajardo, Enrique Onieva, Antonio David Masegosa:
A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas. HAIS (2) 2024: 39-49- 2023
- [b1]Gabriel Duflo:
Learning Optimisation Algorithms over Graphs. University of Luxembourg, Luxembourg City, Luxembourg, 2023 - 2022
- [c6]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
A Generative Hyper-Heuristic based on Multi-Objective Reinforcement Learning: the UAV Swarm Use Case. CEC 2022: 1-8 - [c5]Emmanuel Kieffer, Gabriel Duflo, Grégoire Danoy, Sébastien Varrette, Pascal Bouvry:
A RNN-Based Hyper-heuristic for Combinatorial Problems. EvoCOP 2022: 17-32 - 2021
- [c4]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours. ACIIDS 2021: 768-781 - 2020
- [c3]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach. GECCO Companion 2020: 227-228 - [c2]Gabriel Duflo, Grégoire Danoy, El-Ghazali Talbi, Pascal Bouvry:
Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs. SSCI 2020: 489-496
2010 – 2019
- 2019
- [c1]Gabriel Duflo, Emmanuel Kieffer, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
A GP Hyper-Heuristic Approach for Generating TSP Heuristics. IPDPS Workshops 2019: 521-529
Coauthor Index
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