From Royal Road to Epistatic Road for Variable Length Evolution Algorithm. - Michael Defoin-Platel; Sébastien Vérel; Manuel Clergue; Philippe Collard (Artificial Evolution, 2003)

Where are bottlenecks in NK fitness landscapes? - Sébastien Vérel; Philippe Collard; Manuel Clergue (IEEE Congress on Evolutionary Computation, 2003)

Scuba search: when selection meets innovation. - Sébastien Vérel; Philippe Collard; Manuel Clergue (IEEE Congress on Evolutionary Computation, 2004)

How to Use the Scuba Diving Metaphor to Solve Problems with Neutrality? - Philippe Collard; Sébastien Vérel; Manuel Clergue (ECAI, 2004)

Local Search Heuristics: Fitness Cloud versus Fitness Landscape. - Philippe Collard; Sébastien Vérel; Manuel Clergue (ECAI, 2004)

Fitness Clouds and Problem Hardness in Genetic Programming. - Leonardo Vanneschi; Manuel Clergue; Philippe Collard; Marco Tomassini; Sébastien Vérel (GECCO (2), 2004)

Etude et Exploitation des Réseaux de Neutralité dans les Paysages Adaptatifs pour l'Optimisation Difficile. (Study and Exploitation of Neutral Networks in Fitness Landscape for Hard Optimization). - Sébastien Vérel (2005)

From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms. - David Simoncini; Philippe Collard; Sébastien Vérel; Manuel Clergue (ACRI, 2006)

Neutral Fitness Landscape in the Cellular Automata Majority Problem. - Sébastien Vérel; Philippe Collard; Marco Tomassini; Leonardo Vanneschi (ACRI, 2006)

Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Sébastien Vérel (EuroGP, 2006)

Deceptiveness and neutrality the ND family of fitness landscapes. - William Beaudoin; Sébastien Vérel; Philippe Collard; Cathy Escazut (GECCO, 2006)

Anisotropic selection in cellular genetic algorithms. - David Simoncini; Sébastien Vérel; Philippe Collard; Manuel Clergue (GECCO, 2006)

Measuring the evolvability landscape to study neutrality. - Sébastien Vérel; Philippe Collard; Manuel Clergue (GECCO, 2006)

Neutralité dans les paysages de fitness. Évolution artificielle et neutralité. - Sébastien Vérel; Philippe Collard; Manuel Clergue (Tech. Sci. Informatiques, 2006)

Evolving dynamic change and exchange of genotype encoding in genetic algorithms for difficult optimization problems. - Maroun Bercachi; Philippe Collard; Manuel Clergue; Sébastien Vérel (IEEE Congress on Evolutionary Computation, 2007)

On the influence of selection operators on performances in cellular Genetic Algorithms. - David Simoncini; Philippe Collard; Sébastien Vérel; Manuel Clergue (IEEE Congress on Evolutionary Computation, 2007)

Density Estimation with Genetic Programming for Inverse Problem Solving. - Michael Defoin-Platel; Sébastien Vérel; Manuel Clergue; Malik Chami (EuroGP, 2007)

A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds. - Leonardo Vanneschi; Marco Tomassini; Philippe Collard; Sébastien Vérel; Yuri Pirola; Giancarlo Mauri (EuroGP, 2007)

Fitness landscapes and problem hardness in evolutionary computation. - Leonardo Vanneschi; Sébastien Vérel (GECCO (Companion), 2007)

How to use the Scuba Diving metaphor to solve problem with neutrality ? - Philippe Collard; Sébastien Vérel; Manuel Clergue (CoRR, 2007)

Fitness landscape of the cellular automata majority problem: View from the "Olympus". - Sébastien Vérel; Philippe Collard; Marco Tomassini; Leonardo Vanneschi (Theor. Comput. Sci., 2007)

The Connectivity of NK Landscapes' Basins - A Network Analysis. - Sébastien Vérel; Gabriela Ochoa; Marco Tomassini (ALIFE, 2008)

A study of NK landscapes' basins and local optima networks. - Gabriela Ochoa; Marco Tomassini; Sébastien Vérel; Christian Darabos (GECCO, 2008)

Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms. - Maroun Bercachi; Philippe Collard; Manuel Clergue; Sébastien Vérel (Linkage in Evolutionary Computation, 2008)

NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results. - Leonardo Vanneschi; Sébastien Vérel; Marco Tomassini; Philippe Collard (EvoWorkshops, 2009)

Do not choose representation just change: an experimental study in states based EA. - Maroun Bercachi; Philippe Collard; Manuel Clergue; Sébastien Vérel (GECCO, 2009)

Centric selection: a way to tune the exploration/exploitation trade-off. - David Simoncini; Sébastien Vérel; Philippe Collard; Manuel Clergue (GECCO, 2009)

Fitness landscapes and graphs: multimodularity, ruggedness and neutrality. - Sébastien Vérel (GECCO (Companion), 2009)

Local Optima Networks of the Quadratic Assignment Problem. - Fabio Daolio; Sébastien Vérel; Gabriela Ochoa; Marco Tomassini (IEEE Congress on Evolutionary Computation, 2010)

First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes. - Gabriela Ochoa; Sébastien Vérel; Marco Tomassini (PPSN (1), 2010)

Local Optima Networks with Escape Edges. - Sébastien Vérel; Fabio Daolio; Gabriela Ochoa; Marco Tomassini (Artificial Evolution, 2011)

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (EvoCOP, 2011)

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (EvoCOP, 2011)

DAMS: distributed adaptive metaheuristic selection. - Bilel Derbel; Sébastien Vérel (GECCO, 2011)

The road to VEGAS: guiding the search over neutral networks. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (GECCO, 2011)

Set-based multiobjective fitness landscapes: a preliminary study. - Sébastien Vérel; Arnaud Liefooghe; Clarisse Dhaenens (GECCO, 2011)

On the Neutrality of Flowshop Scheduling Fitness Landscapes. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (LION, 2011)

Clustering of Local Optima in Combinatorial Fitness Landscapes. - Gabriela Ochoa; Sébastien Vérel; Fabio Daolio; Marco Tomassini (LION, 2011)

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems. - Sébastien Vérel; Arnaud Liefooghe; Jérémie Humeau; Laetitia Jourdan; Clarisse Dhaenens (LION, 2011)

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (LION, 2011)

Local Optima Networks of NK Landscapes With Neutrality. - Sébastien Vérel; Gabriela Ochoa; Marco Tomassini (IEEE Trans. Evol. Comput., 2011)

Local optima networks and the performance of iterated local search. - Fabio Daolio; Sébastien Vérel; Gabriela Ochoa; Marco Tomassini (GECCO, 2012)

Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance. - Francisco Chicano; Fabio Daolio; Gabriela Ochoa; Sébastien Vérel; Marco Tomassini; Enrique Alba 001 (PPSN (2), 2012)

Complex-network analysis of combinatorial spaces: The NK landscape case - Marco Tomassini; Sébastien Vérel; Gabriela Ochoa (CoRR, 2012)

Communities of Minima in Local Optima Networks of Combinatorial Spaces - Fabio Daolio; Marco Tomassini; Sébastien Vérel; Gabriela Ochoa (CoRR, 2012)

A study of the neutrality of Boolean function landscapes in genetic programming. - Leonardo Vanneschi; Yuri Pirola; Giancarlo Mauri; Marco Tomassini; Philippe Collard; Sébastien Vérel (Theor. Comput. Sci., 2012)

Local Optima Networks of the Permutation Flow-Shop Problem. - Fabio Daolio; Sébastien Vérel; Gabriela Ochoa; Marco Tomassini (Artificial Evolution, 2013)

What Makes an Instance Difficult for Black-Box 0-1 Evolutionary Multiobjective Optimizers? - Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (Artificial Evolution, 2013)

A study on population size and selection lapse in many-objective optimization. - Hernán E. Aguirre; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (IEEE Congress on Evolutionary Computation, 2013)

Population size and scalability in the aeseh evolutionary many-objective algorithm. - Hernán E. Aguirre; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (GECCO (Companion), 2013)

On set-based local search for multiobjective combinatorial optimization. - Matthieu Basseur; Adrien Goëffon; Arnaud Liefooghe; Sébastien Vérel (GECCO, 2013)

Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization. - Hernán E. Aguirre; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (LION, 2013)

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (Eur. J. Oper. Res., 2013)

ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms. - Jérémie Humeau; Arnaud Liefooghe; El-Ghazali Talbi; Sébastien Vérel (J. Heuristics, 2013)

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization. - Hernán E. Aguirre; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (PPSN, 2014)

On the Impact of Multiobjective Scalarizing Functions. - Bilel Derbel; Dimo Brockhoff; Arnaud Liefooghe; Sébastien Vérel (PPSN, 2014)

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives. - Manuel López-Ibáñez 001; Arnaud Liefooghe; Sébastien Vérel (PPSN, 2014)

An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions. - Martin Drozdik; Kiyoshi Tanaka; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel (SEAL, 2014)

A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming. - Arnaud Liefooghe; Sébastien Vérel; Jin-Kao Hao (Appl. Soft Comput., 2014)

Local Optima Networks: A New Model of Combinatorial Fitness Landscapes. - Gabriela Ochoa; Sébastien Vérel; Fabio Daolio; Marco Tomassini (CoRR, 2014)

Distributed localized bi-objective search. - Bilel Derbel; Jérémie Humeau; Arnaud Liefooghe; Sébastien Vérel (Eur. J. Oper. Res., 2014)

Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes. - Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Sébastien Vérel; Kiyoshi Tanaka (Artificial Evolution, 2015)

Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies. - Christopher Jankee; Sébastien Vérel; Bilel Derbel; Cyril Fonlupt (Artificial Evolution, 2015)

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization. - Arnaud Liefooghe; Sébastien Vérel; Fabio Daolio; Hernán E. Aguirre; Kiyoshi Tanaka (EMO (2), 2015)

Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming. - Arnaud Liefooghe; Sébastien Vérel; Luís Paquete; Jin-Kao Hao (EMO (1), 2015)

Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features. - Fabio Daolio; Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2015)

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection. - Christopher Jankee; Sébastien Vérel; Bilel Derbel; Cyril Fonlupt (GECCO (Companion), 2015)

Feature Cluster on "Evolutionary multiobjective optimization". - Dimo Brockhoff; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel (Eur. J. Oper. Res., 2015)

Apport à l'analyse des paysages de fitness pour l'optimisation mono-objective et multiobjective : Science des systèmes complexes pour l'optimisation par méthodes stochastiques. (Contributions to fitness landscapes analysis for single- and multi-objective optimization : Science of complex systems for optimization with stochastic methods). - Sébastien Vérel (2016)

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods. - Christopher Jankee; Sébastien Vérel; Bilel Derbel; Cyril Fonlupt (PPSN, 2016)

Learning variable importance to guide recombination. - Miyako Sagawa; Hernán E. Aguirre; Fabio Daolio; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (SSCI, 2016)

On the Design of a Master-Worker Adaptive Algorithm Selection Framework. - Christopher Jankee; Sébastien Vérel; Bilel Derbel; Cyril Fonlupt (Artificial Evolution, 2017)

A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design. - Mathieu Muniglia; Sébastien Vérel; Jean-Charles Le Pallec; Jean-Michel Do (Artificial Evolution, 2017)

A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems. - Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (EMO, 2017)

Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes. - Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (EvoCOP, 2017)

Closed state model for understanding the dynamics of MOEAs. - Hugo Monzón; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (GECCO, 2017)

Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective. - Mathieu Muniglia; Sébastien Vérel; Jean-Charles Le Pallec; Jean-Michel Do (GECCO (Companion), 2017)

Learning Variable Importance to Guide Recombination on Many-Objective Optimization. - Miyako Sagawa; Hernán E. Aguirre; Fabio Daolio; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (IIAI-AAI, 2017)

Analysis of a Batch Strategy for a Master-Worker Adaptive Selection Algorithm Framework. - Christopher Jankee; Sébastien Vérel; Bilel Derbel; Cyril Fonlupt (IJCCI, 2017)

Using Parallel Strategies to Speed up Pareto Local Search. - Jialong Shi; Qingfu Zhang 001; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel (SEAL, 2017)

Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes. - Fabio Daolio; Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (Evol. Comput., 2017)

On the Fractal Nature of Local Optima Networks. - Sarah L. Thomson; Sébastien Vérel; Gabriela Ochoa; Nadarajen Veerapen; Paul McMenemy (EvoCOP, 2018)

A set-oriented MOEA/D. - Bilel Derbel; Arnaud Liefooghe; Qingfu Zhang 001; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (GECCO, 2018)

SIALAC benchmark: on the design of adaptive algorithms for traffic lights problems. - Florian Leprêtre; Cyril Fonlupt; Sébastien Vérel; Virginie Marion (GECCO (Companion), 2018)

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference. - Arnaud Liefooghe; Manuel López-Ibáñez 001; Luís Paquete; Sébastien Vérel (GECCO, 2018)

Pareto dominance-based MOEAs on problems with difficult pareto set topologies. - Yuri Marca; Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (GECCO (Companion), 2018)

Studying MOEAs dynamics and their performance using a three compartmental model. - Hugo Monzón; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (GECCO (Companion), 2018)

Fitness landscape analysis around the optimum in computational protein design. - David Simoncini; Sophie Barbe; Thomas Schiex; Sébastien Vérel (GECCO, 2018)

Multifractality and dimensional determinism in local optima networks. - Sarah L. Thomson; Sébastien Vérel; Gabriela Ochoa; Nadarajen Veerapen; David E. Cairns (GECCO, 2018)

On Pareto Local Optimal Solutions Networks. - Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Manuel López-Ibáñez 001; Hernán E. Aguirre; Kiyoshi Tanaka (PPSN (2), 2018)

A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions. - Sébastien Vérel; Bilel Derbel; Arnaud Liefooghe; Hernán E. Aguirre; Kiyoshi Tanaka (PPSN (2), 2018)

Sampling Local Optima Networks of Large Combinatorial Search Spaces: The QAP Case. - Sébastien Vérel; Fabio Daolio; Gabriela Ochoa; Marco Tomassini (PPSN (2), 2018)

An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem. - Manuel Clergue; Sébastien Vérel; Enrico Formenti (Appl. Soft Comput., 2018)

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach. - Amaury Dubois; Fabien Teytaud; Éric Ramat; Sébastien Vérel (EA, 2019)

Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem. - Florian Leprêtre; Cyril Fonlupt; Sébastien Vérel; Virginie Marion (EA, 2019)

Estimating Relevance of Variables for Effective Recombination. - Taishi Ito; Hernán E. Aguirre; Kiyoshi Tanaka; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel (EMO, 2019)

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems. - Yuri Marca; Hernán E. Aguirre; Saúl Zapotecas Martínez; Arnaud Liefooghe; Bilel Derbel; Sébastien Vérel; Kiyoshi Tanaka (EMO, 2019)

Clarifying the Difference in Local Optima Network Sampling Algorithms. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (EvoCOP, 2019)

New features for continuous exploratory landscape analysis based on the SOO tree. - Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Kiyoshi Tanaka (FOGA, 2019)

Walsh functions as surrogate model for pseudo-boolean optimization problems. - Florian Leprêtre; Sébastien Vérel; Cyril Fonlupt; Virginie Marion (GECCO, 2019)

Studying com partmental models interpolation to estimate MOEAs population size. - Hugo Monzón; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (GECCO (Companion), 2019)

Dynamic compartmental models for algorithm analysis and population size estimation. - Hugo Monzón; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (GECCO (Companion), 2019)

Fitness landscapes analysis and adaptive algorithms design for traffic lights optimization on SIALAC benchmark. - Florian Leprêtre; Cyril Fonlupt; Sébastien Vérel; Virginie Marion; Rolando Armas; Hernán E. Aguirre; Kiyoshi Tanaka (Appl. Soft Comput., 2019)

BCMA-ES: A Bayesian approach to CMA-ES. - Eric Benhamou; David Saltiel; Sébastien Vérel; Fabien Teytaud (CoRR, 2019)

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation. - Hugo Monzón; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (EvoCOP, 2020)

Fitness landscape analysis to understand and predict algorithm performance for single- and multi-objective optimization. - Bilel Derbel; Sébastien Vérel (GECCO Companion, 2020)

Surrogate-assisted asynchronous multiobjective algorithm for nuclear power plant operations. - V. Drouet; Sébastien Vérel; Jean-Michel Do (GECCO, 2020)

Bayesian CMA-ES: a new approach. - Eric Benhamou; David Saltiel; Sébastien Vérel (GECCO Companion, 2020)

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. - Geoffrey Pruvost; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (GECCO, 2020)

On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators. - Brahim Aboutaib; Sébastien Vérel; Cyril Fonlupt; Bilel Derbel; Arnaud Liefooghe; Belaïd Ahiod (PPSN (2), 2020)

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection. - Arnaud Liefooghe; Sébastien Vérel; Bilel Derbel; Hernán E. Aguirre; Kiyoshi Tanaka (PPSN (1), 2020)

Inferring Future Landscapes: Sampling the Local Optima Level. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel; Nadarajen Veerapen (Evol. Comput., 2020)

Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization. - Arnaud Liefooghe; Fabio Daolio; Sébastien Vérel; Bilel Derbel; Hernán E. Aguirre; Kiyoshi Tanaka (IEEE Trans. Evol. Comput., 2020)

Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. - Johann Dréo; Arnaud Liefooghe; Sébastien Vérel; Marc Schoenauer; Juan Julián Merelo Guervós; Alexandre Quemy; Benjamin Bouvier; Jan Gmys (GECCO Companion, 2021)

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. - Arnaud Liefooghe; Sébastien Vérel; Benjamin Lacroix; Alexandru-Ciprian Zavoianu; John A. W. McCall (GECCO, 2021)

Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations. - Hugo Monzón Maldonado; Hernán E. Aguirre; Sébastien Vérel; Arnaud Liefooghe; Bilel Derbel; Kiyoshi Tanaka (Adv. Oper. Res., 2021)

Short term soil moisture forecasts for potato crop farming: A machine learning approach. - Amaury Dubois; Fabien Teytaud; Sébastien Vérel (Comput. Electron. Agric., 2021)

Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce. - Bilal Elghadyry; Faissal Ouardi; Zineb Lotfi; Sébastien Vérel (J. Big Data, 2021)

Composition of weighted finite transducers in MapReduce. - Bilal Elghadyry; Faissal Ouardi; Sébastien Vérel (J. Big Data, 2021)

PUBOi: A Tunable Benchmark with Variable Importance. - Sara Tari; Sébastien Vérel; Mahmoud Omidvar (EvoCOP, 2022)

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. - Raphaël Cosson; Bilel Derbel; Arnaud Liefooghe; Sébastien Vérel; Hernán E. Aguirre; Qingfu Zhang 001; Kiyoshi Tanaka (GECCO, 2022)

Fractal Dimension and Perturbation Strength: A Local Optima Networks View. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (PPSN (1), 2022)

The fractal geometry of fitness landscapes at the local optima level. - Sarah L. Thomson; Gabriela Ochoa; Sébastien Vérel (Nat. Comput., 2022)

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective. - Arnaud Liefooghe; Sébastien Vérel; Tinkle Chugh; Jonathan E. Fieldsend; Richard Allmendinger 001; Kaisa Miettinen (EMO, 2023)

Fourier Transform-based Surrogates for Permutation Problems. - Francisco Chicano; Bilel Derbel; Sébastien Vérel (GECCO, 2023)

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness. - Arnaud Liefooghe; Gabriela Ochoa; Sébastien Vérel; Bilel Derbel (GECCO, 2023)

On the Global Structure of PUBOi Fitness Landscapes. - Sara Tari; Gabriela Ochoa; Matthieu Basseur; Sébastien Vérel (GECCO Companion, 2023)

MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization. - Baptiste Gasse; Sébastien Vérel; Jean-Michel Do (IJCCI, 2023)

Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. - Bilel Derbel; Geoffrey Pruvost; Arnaud Liefooghe; Sébastien Vérel; Qingfu Zhang 001 (Appl. Soft Comput., 2023)

Data for GECCO2023 Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness". - Arnaud Liefooghe; Gabriela Ochoa; Sébastien Vérel; Bilel Derbel (Zenodo, 2023)

Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem. - Valentin Vendi; Sébastien Vérel; Cyril Fonlupt (EvoStar, 2024)

Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances. - Sébastien Vérel; Sarah L. Thomson; Omar Rifki (EvoStar, 2024)

Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. - Olivier Goudet; Adrien Goëffon; Frédéric Saubion; Sébastien Vérel (GECCO Companion, 2024)

Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models. - Arnaud Liefooghe; Ryoji Tanabe; Sébastien Vérel (PPSN (1), 2024)

Funnels in Multi-objective Fitness Landscapes. - Gabriela Ochoa; Arnaud Liefooghe; Sébastien Vérel (PPSN (1), 2024)

Models to classify the difficulty of genetic algorithms to solve continuous optimization problems. - Noel E. Rodríguez-Maya; Juan J. Flores; Sébastien Vérel; Mario Graff (Nat. Comput., 2024)

Instances and results ofr the paper "Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance". - Francisco Chicano; Fabio Daolio; Gabriela Ochoa; Sébastien Vérel; Marco Tomassini; Enrique Alba 001 (Zenodo, 2024)

Meta-learning of Univariate Estimation-of-Distribution Algorithms for Pseudo-Boolean Problems. - Olivier Goudet; Adrien Goëffon; Frédéric Saubion; Sébastien Vérel (EvoCOP@EvoStar, 2025)

LON/D - Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization. - Arnaud Liefooghe; Gabriela Ochoa; Sébastien Vérel (EvoCOP@EvoStar, 2025)

Local Optima Networks for Constrained Search Spaces. - Jonathan E. Fieldsend; Arnaud Liefooghe; Katherine M. Malan; Sébastien Vérel (GECCO, 2025)