Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Estimating hypervolume using population features from dynamic compartmental models. Transaction of the Japanese Society for Evolutionary Computation, 2022
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Qingfu Zhang, Kiyoshi Tanaka. Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, MA, USA, 2022
Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Understanding population dynamics in multi- and many-objective evolutionary algorithms for high-resolution approximations. Advances in Operations Research, 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 ★★★
Arnaud Liefooghe, Sébastien Verel, Bilel Derbel, Hernán Aguirre, Kiyoshi Tanaka. Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection. International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science (LNCS), Leiden, The Netherlands, 2020
Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernan Aguirre, Qingfu Zhang, Kiyoshi Tanaka. Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. Genetic and Evolutionary Computation Conference (GECCO 2020), pp 462–470, Cancún, Mexico, 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, 2020 ★★★ best paper nomination ★★★
Arnaud Liefooghe, Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernán Aguirre, Kiyoshi Tanaka. Landscape-aware performance prediction for evolutionary multi-objective optimization. IEEE Transactions on Evolutionary Computation, vol 24, n 6, pp 1063–1077, 2020
Yuri Marca, Hernán Aguirre, Saúl Zapotecas-Martínez, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. MOEA with cubic interpolation on bi-objective problems with difficult Pareto set topology. Transaction of the Japanese Society for Evolutionary Computation, vol 10, n 2, pp 12-21, 2019
Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. New features for continuous exploratory landscape analysis based on the SOO tree. Workshop on Foundations of Genetic Algorithms (FOGA 2019), pp 72-86, Postdam, Germany, 2019
Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. Surrogate-assisted multi-objective optimization based on decomposition: a comprehensive comparative analysis. Genetic and Evolutionary Computation Conference (GECCO 2019), pp 507-515, Prague, Czech Republic, 2019
Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel and Sébastien Verel. Estimating the relevance of variables for effective recombination. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), Lecture Notes in Computer Science (LNCS), vol 11411, pp 411-423, East Lansing, Michigan, USA, 2019
Yuri Marca, Hernan Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel and 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 student paper award ★★★
Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. A machine- learning approach to select important variables for recombination on many-objective evolutionary optimization. International Journal of Smart Computing and Artificial Intelligence, vol 2, n 8, pp 59-78, 2018
Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibánez, Hernán Aguirre and 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 paper nomination ★★★
Sébastien Verel, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. A surrogate model based on Walsh decomposition for pseudo-boolean functions. International Conference on Parallel Problem Solving from Nature (PPSN 2018), Lecture Notes in Computer Science (LNCS), vol 11102, pp 181-193, Coimbra, Portugal, 2018
Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. A set-oriented MOEA/D. Genetic and Evolutionary Computation Conference (GECCO 2018), pp 617-624, Kyoto, Japan, 2018
Fabio Daolio, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Problem features vs. algorithm performance on rugged multi-objective combinatorial fitness landscapes. Evolutionary Computation, vol 25, n 4, pp 555–585, 2017
Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Learning variable importance to guide recombination on many-objective optimization. 5th International Conference on Smart Computing and Artificial Intelligence (SCAI 2017), Hamamatsu, Japan, 2017
Hugo Monzon, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Closed state model for understanding the dynamics of MOEAs. Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Germany, 2017
Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes. European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Lecture Notes in Computer Science vol. 10197, pp. 215-232, Amsterdam, The Netherlands, 2017
Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems. 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Lecture Notes in Computer Science vol. 10173, pp. 422-437, Münster, Germany, 2017
Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Learning variable importance to guide recombination. IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM 2016), pp. 1-7, Athens, Greece, 2016
Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán Aguirre, Kiyoshi Tanaka. Multi-objective local search based on decomposition. International Conference on Parallel Problem Solving from Nature (PPSN 2016), Lecture Notes in Computer Science vol. 9921, pp. 431-441, Edinburgh, Scotland, 2016
Saúl Zapotecas-Martínez, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka. Geometric differential evolution in MOEA/D: a preliminary study. 14th Mexican International Conference on Artificial Intelligence (MICAI 2015), Lecture Notes in Computer Science vol. 9413, pp. 364-376, Cuernavaca, Mexico, 2015
Hernán Aguirre, Saúl Zapotecas-Martínez, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka. Approaches for many-objective optimization: analysis and comparison on MNK-landscapes. 13th International Conference on Artificial Evolution (EA 2015), Lecture Notes in Computer Science vol. 9554, pp.14-28, Lyon, France, 2015
Saul Zapotecas-Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán Aguirre, Kiyoshi Tanaka. Injecting CMA-ES into MOEA/D. Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 783-790, 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 award ★★★
Arnaud Liefooghe, Sébastien Verel, Fabio Daolio, Hernán Aguirre, Kiyoshi Tanaka. A feature-based performance analysis in evolutionary multiobjective optimization. 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Lecture Notes in Computer Science vol. 9019, pp. 95-109, Guimarães, Portugal, 2015
Martin Drozdik, Kiyoshi Tanaka, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel. An analysis of differential evolution parameters on rotated bi-objective optimization functions. 10th International Conference on Simulated Evolution and Learning (SEAL 2014), Lecture Notes in Computer Science vol. 8886, pp. 143-154, Dunedin, New Zealand, 2014
Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka. An analysis on selection for high-resolution approximations in many-objective optimization. International Conference on Parallel Problem Solving from Nature (PPSN 2014), Lecture Notes in Computer Science vol. 8672, pp. 487-497, Ljubljana, Slovenia, 2014
Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. What makes an instance difficult for black-box 0–1 evolutionary multiobjective optimizers? 11th International Conference on Artificial Evolution (EA 2013), Lecture Notes in Computer Science vol. 8752, pp. 3-15, Bordeaux, France, 2013
Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka. A study on population size and selection lapse in many-objective optimization. IEEE Congress on Evolutionary Computation (CEC 2013), pp. 1507-1514, Cancún, Mexico, 2013
Hernán Aguirre, Arnaud Liefooghe, Sébastien Verel, Kiyoshi Tanaka. Effects of population size on selection and scalability in evolutionary many-objective optimization. Learning and Intelligent OptimizatioN Conference (LION 7), Lecture Notes in Computer Science vol. 7997, pp. 450-454, Catania, Italy, 2013