Sébastien Vérel

According to our database, Sébastien Vérel authored at least 136 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2024

Funnels in Multi-objective Fitness Landscapes.

Gabriela Ochoa, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models.

Arnaud Liefooghe, Ryoji Tanabe, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks.

Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances.

Sébastien Vérel, Sarah L. Thomson, Omar Rifki

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem.

Valentin Vendi, Sébastien Vérel, Cyril Fonlupt

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2023

Data for GECCO2023 Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness".

Arnaud Liefooghe, Gabriela Ochoa, Sébastien Vérel, Bilel Derbel

Dataset, July, 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

Appl. Soft Comput., March, 2023

MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization.

Baptiste Gasse, Sébastien Vérel, Jean-Michel Do

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

On the Global Structure of PUBOi Fitness Landscapes.

Sara Tari, Gabriela Ochoa, Matthieu Basseur, Sébastien Vérel

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness.

Arnaud Liefooghe, Gabriela Ochoa, Sébastien Vérel, Bilel Derbel

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Fourier Transform-based Surrogates for Permutation Problems.

Francisco Chicano, Bilel Derbel, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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, Kaisa Miettinen

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

The fractal geometry of fitness landscapes at the local optima level.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Nat. Comput., 2022

Fractal Dimension and Perturbation Strength: A Local Optima Networks View.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 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, Kiyoshi Tanaka

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

PUBO_i: A Tunable Benchmark with Variable Importance.

Sara Tari, Sébastien Vérel, Mahmoud Omidvar

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021

Composition of weighted finite transducers in MapReduce.

Bilal Elghadyry, Faissal Ouardi, Sébastien Vérel

J. Big Data, 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

Short term soil moisture forecasts for potato crop farming: A machine learning approach.

Amaury Dubois, Fabien Teytaud, Sébastien Vérel

Comput. Electron. Agric., 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

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

Inferring Future Landscapes: Sampling the Local Optima Level.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel, Nadarajen Veerapen

Evol. Comput., 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis.

Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Qingfu Zhang

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Bayesian CMA-ES: a new approach.

Eric Benhamou, David Saltiel, Sébastien Vérel

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Surrogate-assisted asynchronous multiobjective algorithm for nuclear power plant operations.

V. Drouet, Sébastien Vérel, Jean-Michel Do

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Fitness landscape analysis to understand and predict algorithm performance for single- and multi-objective optimization.

Bilel Derbel, Sébastien Vérel

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation.

Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019

BCMA-ES: A Bayesian approach to CMA-ES.

Eric Benhamou, David Saltiel, Sébastien Vérel, Fabien Teytaud

CoRR, 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

Dynamic compartmental models for algorithm analysis and population size estimation.

Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Studying com partmental models interpolation to estimate MOEAs population size.

Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Walsh functions as surrogate model for pseudo-boolean optimization problems.

Florian Leprêtre, Sébastien Vérel, Cyril Fonlupt, Virginie Marion

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

New features for continuous exploratory landscape analysis based on the SOO tree.

Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

Clarifying the Difference in Local Optima Network Sampling Algorithms.

Sarah L. Thomson, Gabriela Ochoa, Sébastien Vérel

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 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

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Estimating Relevance of Variables for Effective Recombination.

Taishi Ito, Hernán E. Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem.

Florian Leprêtre, Cyril Fonlupt, Sébastien Vérel, Virginie Marion

Proceedings of the Artificial Evolution, 2019

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach.

Amaury Dubois, Fabien Teytaud, Éric Ramat, Sébastien Vérel

Proceedings of the Artificial Evolution, 2019

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

Sampling Local Optima Networks of Large Combinatorial Search Spaces: The QAP Case.

Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions.

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

On Pareto Local Optimal Solutions Networks.

Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Manuel López-Ibáñez, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Multifractality and dimensional determinism in local optima networks.

Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, David E. Cairns

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Fitness landscape analysis around the optimum in computational protein design.

David Simoncini, Sophie Barbe, Thomas Schiex, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference.

Arnaud Liefooghe, Manuel López-Ibáñez, Luís Paquete, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

SIALAC benchmark: on the design of adaptive algorithms for traffic lights problems.

Florian Leprêtre, Cyril Fonlupt, Sébastien Vérel, Virginie Marion

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A set-oriented MOEA/D.

Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Fractal Nature of Local Optima Networks.

Sarah L. Thomson, Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, Paul McMenemy

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

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

Using Parallel Strategies to Speed up Pareto Local Search.

Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Analysis of a Batch Strategy for a Master-Worker Adaptive Selection Algorithm Framework.

Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt

Proceedings of the 9th International Joint Conference on Computational Intelligence, 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

Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Closed state model for understanding the dynamics of MOEAs.

Hugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 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

Proceedings of the Evolutionary Multi-Criterion Optimization, 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

Proceedings of the Artificial Evolution, 2017

On the Design of a Master-Worker Adaptive Algorithm Selection Framework.

Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt

Proceedings of the Artificial Evolution, 2017

2016

Learning variable importance to guide recombination.

Miyako Sagawa, Hernán E. Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods.

Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

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

2015

Feature Cluster on "Evolutionary multiobjective optimization".

Dimo Brockhoff, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel

Eur. J. Oper. Res., 2015

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection.

Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt

Proceedings of the Genetic and Evolutionary Computation Conference, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming.

Arnaud Liefooghe, Sébastien Vérel, Luís Paquete, Jin-Kao Hao

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization.

Arnaud Liefooghe, Sébastien Vérel, Fabio Daolio, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies.

Christopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Fonlupt

Proceedings of the Artificial Evolution, 2015

Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes.

Hernán E. Aguirre, Saúl Zapotecas Martínez, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the Artificial Evolution, 2015

2014

Distributed localized bi-objective search.

Bilel Derbel, Jérémie Humeau, Arnaud Liefooghe, Sébastien Vérel

Eur. J. Oper. Res., 2014

Local Optima Networks: A New Model of Combinatorial Fitness Landscapes.

Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini

CoRR, 2014

A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming.

Arnaud Liefooghe, Sébastien Vérel, Jin-Kao Hao

Appl. Soft Comput., 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

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives.

Manuel López-Ibáñez, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

On the Impact of Multiobjective Scalarizing Functions.

Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization.

Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013

ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms.

Jérémie Humeau, Arnaud Liefooghe, El-Ghazali Talbi, Sébastien Vérel

J. Heuristics, 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

Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization.

Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

On set-based local search for multiobjective combinatorial optimization.

Matthieu Basseur, Adrien Goëffon, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Population size and scalability in the aeseh evolutionary many-objective algorithm.

Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A study on population size and selection lapse in many-objective optimization.

Hernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

What Makes an Instance Difficult for Black-Box 0-1 Evolutionary Multiobjective Optimizers?

Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka

Proceedings of the Artificial Evolution, 2013

Local Optima Networks of the Permutation Flow-Shop Problem.

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini

Proceedings of the Artificial Evolution, 2013

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

Communities of Minima in Local Optima Networks of Combinatorial Spaces

Fabio Daolio, Marco Tomassini, Sébastien Vérel, Gabriela Ochoa

CoRR, 2012

Complex-network analysis of combinatorial spaces: The NK landscape case

Marco Tomassini, Sébastien Vérel, Gabriela Ochoa

CoRR, 2012

Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance.

Francisco Chicano, Fabio Daolio, Gabriela Ochoa, Sébastien Vérel, Marco Tomassini, Enrique Alba

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Local optima networks and the performance of iterated local search.

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Local Optima Networks of NK Landscapes With Neutrality.

Sébastien Vérel, Gabriela Ochoa, Marco Tomassini

IEEE Trans. Evol. Comput., 2011

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes.

Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems.

Sébastien Vérel, Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Clustering of Local Optima in Combinatorial Fitness Landscapes.

Gabriela Ochoa, Sébastien Vérel, Fabio Daolio, Marco Tomassini

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Neutrality of Flowshop Scheduling Fitness Landscapes.

Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Set-based multiobjective fitness landscapes: a preliminary study.

Sébastien Vérel, Arnaud Liefooghe, Clarisse Dhaenens

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The road to VEGAS: guiding the search over neutral networks.

Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

DAMS: distributed adaptive metaheuristic selection.

Bilel Derbel, Sébastien Vérel

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives.

Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 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

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Local Optima Networks with Escape Edges.

Sébastien Vérel, Fabio Daolio, Gabriela Ochoa, Marco Tomassini

Proceedings of the Artificial Evolution, 2011

2010

First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes.

Gabriela Ochoa, Sébastien Vérel, Marco Tomassini

Proceedings of the Parallel Problem Solving from Nature, 2010

Local Optima Networks of the Quadratic Assignment Problem.

Fabio Daolio, Sébastien Vérel, Gabriela Ochoa, Marco Tomassini

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Fitness landscapes and graphs: multimodularity, ruggedness and neutrality.

Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Centric selection: a way to tune the exploration/exploitation trade-off.

David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Do not choose representation just change: an experimental study in states based EA.

Maroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results.

Leonardo Vanneschi, Sébastien Vérel, Marco Tomassini, Philippe Collard

Proceedings of the Applications of Evolutionary Computing, 2009

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

Proceedings of the Linkage in Evolutionary Computation, 2008

A study of NK landscapes' basins and local optima networks.

Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

The Connectivity of NK Landscapes' Basins - A Network Analysis.

Sébastien Vérel, Gabriela Ochoa, Marco Tomassini

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

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

How to use the Scuba Diving metaphor to solve problem with neutrality ?

Philippe Collard, Sébastien Vérel, Manuel Clergue

CoRR, 2007

Fitness landscapes and problem hardness in evolutionary computation.

Leonardo Vanneschi, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds.

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel, Yuri Pirola, Giancarlo Mauri

Proceedings of the Genetic Programming, 10th European Conference, 2007

Density Estimation with Genetic Programming for Inverse Problem Solving.

Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Malik Chami

Proceedings of the Genetic Programming, 10th European Conference, 2007

On the influence of selection operators on performances in cellular Genetic Algorithms.

David Simoncini, Philippe Collard, Sébastien Vérel, Manuel Clergue

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving dynamic change and exchange of genotype encoding in genetic algorithms for difficult optimization problems.

Maroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Neutralité dans les paysages de fitness. Évolution artificielle et neutralité.

Sébastien Vérel, Philippe Collard, Manuel Clergue

Tech. Sci. Informatiques, 2006

Measuring the evolvability landscape to study neutrality.

Sébastien Vérel, Philippe Collard, Manuel Clergue

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Anisotropic selection in cellular genetic algorithms.

David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Deceptiveness and neutrality the ND family of fitness landscapes.

William Beaudoin, Sébastien Vérel, Philippe Collard, Cathy Escazut

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes.

Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel

Proceedings of the Genetic Programming, 9th European Conference, 2006

Neutral Fitness Landscape in the Cellular Automata Majority Problem.

Sébastien Vérel, Philippe Collard, Marco Tomassini, Leonardo Vanneschi

Proceedings of the Cellular Automata, 2006

From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms.

David Simoncini, Philippe Collard, Sébastien Vérel, Manuel Clergue

Proceedings of the Cellular Automata, 2006

2005

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

PhD thesis, 2005

2004

Fitness Clouds and Problem Hardness in Genetic Programming.

Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sébastien Vérel

Proceedings of the Genetic and Evolutionary Computation, 2004

Local Search Heuristics: Fitness Cloud versus Fitness Landscape.

Philippe Collard, Sébastien Vérel, Manuel Clergue

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

How to Use the Scuba Diving Metaphor to Solve Problems with Neutrality?

Philippe Collard, Sébastien Vérel, Manuel Clergue

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Scuba search: when selection meets innovation.

Sébastien Vérel, Philippe Collard, Manuel Clergue

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Where are bottlenecks in NK fitness landscapes?

Sébastien Vérel, Philippe Collard, Manuel Clergue

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

From Royal Road to Epistatic Road for Variable Length Evolution Algorithm.

Michael Defoin-Platel, Sébastien Vérel, Manuel Clergue, Philippe Collard

Proceedings of the Artificial Evolution, 2003