Awards & Recognition
🥇 Best paper award (2023)
Genetic and Evolutionary Computation Conference (GECCO 2023), Evolutionary Multiobjective Optimization (EMO), Lisbon, Portugal, 2023
Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel, Bilel Derbel. Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness. Genetic and Evolutionary Computation Conference (GECCO 2023), pp 713–721, Lisbon, Portugal, 2023
🥉 Best paper nomination (2023)
Genetic and Evolutionary Computation Conference (GECCO 2023), Evolutionary Multiobjective Optimization (EMO), Lisbon, Portugal, 2023
Arnaud Liefooghe, Manuel López-Ibáñez. Many-objective (combinatorial) optimization is easy. Genetic and Evolutionary Computation Conference (GECCO 2023), pp 704–712, Lisbon, Portugal, 2023
🥉 Best paper nomination (2022)
Genetic and Evolutionary Computation Conference (GECCO 2022), Evolutionary Multiobjective Optimization (EMO), Boston, MA, USA, 2022
Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe. Multi-objective NK landscapes with heterogeneous objectives. Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, MA, USA, 2022
🥉 Best paper nomination (2021)
Genetic and Evolutionary Computation Conference (GECCO 2021), Evolutionary Multiobjective Optimization (EMO), Virtual, 2021
Arnaud Liefooghe, Sébastien Verel, Benjamin Lacroix, Alexandru-Ciprian Zăvoianu, John McCall. Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. Genetic and Evolutionary Computation Conference (GECCO 2021), Lille, France, 2021
🥉 Best paper nomination (2021)
21th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2021), Virtual, 2021
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka, Qingfu Zhang. Decomposition-based multi-objective landscape features and automated algorithm selection. 21th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2021), Lecture Notes in Computer Science (LNCS), vol 12692, pp 34–50, Virtual event, 2021
🥉 Best paper nomination (2020)
20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2020), Seville, Spain, 2020
Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Dynamic compartmental models for large multi-objective landscapes and performance estimation. 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2020), Lecture Notes in Computer Science (LNCS), vol 12102, pp 99–113, Seville, Spain, 2020Â
🥇 Best student paper award (2019)
10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), East Lansing, MI, USA, 2019
(Joint paper presented by Yuri Marca, MSc Student at 🇯🇵 Shinshu University)
Yuri Marca, Hernan Aguirre, Saúl Zapotecas-MartÃnez, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Approximating the Pareto set topology by cubic interpolation on bi-objective problems. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), Lecture Notes in Computer Science (LNCS), vol 11411, pp 386–398, East Lansing, Michigan, USA, 2019
🥉 Best paper nomination (2018)
15th International Conference on Parallel Problem Solving from Nature (PPSN 2018), Coimbra, Portugal, 2018
Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibánez, Hernán Aguirre, Kiyoshi Tanaka. On Pareto local optimal solutions networks. International Conference on Parallel Problem Solving from Nature (PPSN 2018), Lecture Notes in Computer Science (LNCS), vol 11102, pp 232–244, Coimbra, Portugal, 2018
🥇 Best student paper award (2017)
11th International Conference on Simulated Evolution and Learning (SEAL 2017), Shenzhen, China, 2017
(Joint paper presented by Jialong Shi, PhD Student at ðŸ‡ðŸ‡° CityU)
Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel. Using parallel strategies to speed up Pareto local search. 11th International Conference on Simulated Evolution and Learning (SEAL 2017), Lecture Notes in Computer Science (LNCS), vol. 10593, pp 62–74, Shenzhen, China, 2017
🥇 Best paper award (2015)
Genetic and Evolutionary Computation Conference (GECCO 2015), Evolutionary Combinatorial Optimization and Metaheuristics (ECOM) track, Madrid, Spain, 2015
Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Global vs local search on multi-objective NK-landscapes: contrasting the impact of problem features. Genetic and Evolutionary Computation Conference (GECCO 2015), pp 369–376, Madrid, Spain, 2015
🥉 Best paper nomination (2014)
13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Ljubljana, Slovenia, 2014
Gauvain Marquet, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi. Shake them all! Rethinking selection and replacement in MOEA/D. International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science (LNCS) vol 8672, pp 641–651, Ljubljana, Slovenia, 2014
🥇 Best paper award (2011)
11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2011), Torino, Italy, 2011
Arnaud Liefooghe, LuÃs Paquete, Marco Simoes, José R Figueira. Connectedness and local search for bicriteria knapsack problems. 11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2011), Lecture Notes in Computer Science (LNCS) vol 6622, pp 48–59, Torino, Italy, 2011
🥇 Student grant (2007, Microsoft Corporation)
4th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2007), Matsushima, Japan, 2007
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi. Combinatorial optimization of stochastic multi-objective problems: an application to the flow-shop scheduling problem. 4th International Conference on Evolutionary Multi-criterion Optimization (EMO 2007), Lecture Notes in Computer Science (LNCS) vol 4403, pp 457–471, Matsushima, Japan, 2007Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi. ParadisEO-MOEO: a framework for evolutionary multi-objective optimization. 4th International Conference on Evolutionary Multi-criterion Optimization (EMO 2007), Lecture Notes in Computer Science (LNCS) vol 4403, pp 386–400, Matsushima, Japan, 2007Â