Gabriel Duflo
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Université du Luxembourg 2, Avenue de l'Université L-4365 Esch-sur-Alzette |
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Gabriel Duflo received his Master degree in theoretical computer science, from the University of Rouen (France), in 2018. He has worked as developer on the implementation of UAVs’ behaviours moving in a swarm. His research interests are in optimisation and artificial intelligence. Gabriel joined the Parallel Computing & Optimisation research group, PCOG, headed by Prof. Pascal Bouvry and he will be advised by Dr Grégoire Danoy.
Last updated on: Wednesday, 20 March 2019
2022
A Framework of Hyper-Heuristics based on Q-Learning; ; ;
in International Conference in Optimization and Learning (OLA2022) (2022)
A RNN-Based Hyper-Heuristic for Combinatorial Problems; ; ; ;
in A RNN-Based Hyper-Heuristic for Combinatorial Problems (2022)
2021
A Q-Learning Based Hyper-Heuristic for Generating Efficient UAV Swarming Behaviours; ; ;
in Intelligent Information and Database Systems - 13th Asian Conference ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings (2021)
2020
Automating the Design of Efficient Distributed Behaviours for a Swarm of UAVs; ; ;
in IEEE Symposium Series on Computational Intelligence, Canberra 1-4 December 2020 (2020, December)
Automated design of efficient swarming behaviours: a Q-learning hyper-heuristic approach; ; ;
in GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020 (2020)
2019
A GP Hyper-Heuristic Approach for Generating TSP Heuristics; ; ; ;
in 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019) (2019, May 20)
GP hyper-heuristic for the travelling salesman problem; ; ;
Scientific Conference (2019, January 29)
