Sébastien Vérel

发表

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection

Christopher Jankee, Sébastien Vérel, Bilel Derbel, 2015, GECCO.

A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming

Sébastien Vérel, Jin-Kao Hao, Arnaud Liefooghe, 2014, Appl. Soft Comput..

Dynamic compartmental models for algorithm analysis and population size estimation

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2019, GECCO.

Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2008, Linkage in Evolutionary Computation.

Learning Variable Importance to Guide Recombination on Many-Objective Optimization

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2017, 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes

Sébastien Vérel, Kiyoshi Tanaka, Fabio Daolio, 2016, Evolutionary Computation.

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives

Sébastien Vérel, Arnaud Liefooghe, Laetitia Vermeulen-Jourdan, 2013, Eur. J. Oper. Res..

On the Fractal Nature of Local Optima Networks

Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, 2018, EvoCOP.

Fitness Clouds and Problem Hardness in Genetic Programming

Sébastien Vérel, Leonardo Vanneschi, Marco Tomassini, 2004, GECCO.

A study of the neutrality of Boolean function landscapes in genetic programming

Yuri Pirola, Sébastien Vérel, Giancarlo Mauri, 2012, Theor. Comput. Sci..

Deceptiveness and neutrality the ND family of fitness landscapes

Sébastien Vérel, Philippe Collard, Cathy Escazut, 2006, GECCO.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2007, 2007 IEEE Congress on Evolutionary Computation.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2007, ECAI.

Multifractality and dimensional determinism in local optima networks

Sébastien Vérel, Gabriela Ochoa, Nadarajen Veerapen, 2018, GECCO.

An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2014, SEAL.

Measuring the evolvability landscape to study neutrality pdf

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2006, GECCO.

BCMA-ES: A Bayesian Approach to CMA-ES

Eric Benhamou, Sébastien Vérel, David Saltiel, 2019, SSRN Electronic Journal.

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

Sébastien Vérel, Cyril Fonlupt, Virginie Marion, 2018, GECCO.

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

Sébastien Vérel, Kiyoshi Tanaka, Arnaud Liefooghe, 2013, Artificial Evolution.

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

Sébastien Vérel, Manuel López-Ibáñez, Arnaud Liefooghe, 2014, PPSN.

Feature Cluster on "Evolutionary multiobjective optimization"

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2015, Eur. J. Oper. Res..

Fitness landscape of the cellular automata majority problem: View from the "Olympus"

Sébastien Vérel, Leonardo Vanneschi, Marco Tomassini, 2007, Theor. Comput. Sci..

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

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2019, FOGA '19.

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

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2018, PPSN.

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

Sébastien Vérel, Jin-Kao Hao, Luís Paquete, 2015, EMO.

Local optima networks and the performance of iterated local search

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2012, GECCO '12.

Set-based multiobjective fitness landscapes: a preliminary study

Sébastien Vérel, Arnaud Liefooghe, Clarisse Dhaenens, 2011, GECCO '11.

A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2017, EMO.

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

Christopher Jankee, Sébastien Vérel, Bilel Derbel, 2017, IJCCI.

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

Sébastien Vérel, Kiyoshi Tanaka, Arnaud Liefooghe, 2013, LION.

Neutral Fitness Landscape in the Cellular Automata Majority Problem pdf

Sébastien Vérel, Leonardo Vanneschi, Marco Tomassini, 2006, ACRI.

Scuba search: when selection meets innovation

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

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

Sébastien Vérel, 2016 .

Fitness landscapes and graphs: multimodularity, ruggedness and neutrality

Sébastien Vérel, S. Vérel, 2009, GECCO '09.

Walsh functions as surrogate model for pseudo-boolean optimization problems

Sébastien Vérel, Cyril Fonlupt, Virginie Marion, 2019, GECCO.

An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem

Sébastien Vérel, Manuel Clergue, Enrico Formenti, 2018, Appl. Soft Comput..

Pareto dominance-based MOEAs on problems with difficult pareto set topologies

Saúl Zapotecas Martínez, Sébastien Vérel, Bilel Derbel, 2018, GECCO.

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

Sébastien Vérel, Kiyoshi Tanaka, Arnaud Liefooghe, 2013, 2013 IEEE Congress on Evolutionary Computation.

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

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2020, PPSN.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2007, 2007 IEEE Congress on Evolutionary Computation.

Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies

Christopher Jankee, Sébastien Vérel, Bilel Derbel, 2015, Artificial Evolution.

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

Sébastien Vérel, Arnaud Liefooghe, El-Ghazali Talbi, 2013, Journal of Heuristics.

Fitness landscapes and graphs: multimodularity, ruggedness and neutrality

Sébastien Vérel, S. Vérel, 2010, GECCO.

Studying com partmental models interpolation to estimate MOEAs population size

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2019, GECCO.

On Pareto Local Optimal Solutions Networks

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2018, PPSN.

Local Optima Networks with Escape Edges

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2011, Artificial Evolution.

From Royal Road to Epistatic Road for Variable Length Evolution Algorithm

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2003, Artificial Evolution.

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling

Sébastien Vérel, Arnaud Liefooghe, Laetitia Vermeulen-Jourdan, 2011, EvoCOP.

A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design

Sébastien Vérel, Jean-Michel Do, Mathieu Muniglia, 2017, Artificial Evolution.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2009, GECCO '09.

Local Optima Networks of the Quadratic Assignment Problem

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2010, IEEE Congress on Evolutionary Computation.

Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance pdf

Enrique Alba, Sébastien Vérel, Marco Tomassini, 2012, PPSN.

Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features

Sébastien Vérel, Kiyoshi Tanaka, Fabio Daolio, 2015, GECCO.

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

Sébastien Vérel, Leonardo Vanneschi, Marco Tomassini, 2006, EuroGP.

Clustering of Local Optima in Combinatorial Fitness Landscapes pdf

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2011, LION.

A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds

Yuri Pirola, Sébastien Vérel, Giancarlo Mauri, 2007, EuroGP.

Clarifying the Difference in Local Optima Network Sampling Algorithms

Sébastien Vérel, Gabriela Ochoa, Sarah L. Thomson, 2019, EvoCOP.

A set-oriented MOEA/D

Qingfu Zhang, Sébastien Vérel, Bilel Derbel, 2018, GECCO.

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems

Saúl Zapotecas Martínez, Sébastien Vérel, Bilel Derbel, 2019, EMO.

Anisotropic selection in cellular genetic algorithms

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2006, GECCO.

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

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2018, PPSN.

Local Optima Networks of NK Landscapes With Neutrality

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2011, IEEE Transactions on Evolutionary Computation.

DAMS: distributed adaptive metaheuristic selection pdf

Sébastien Vérel, Bilel Derbel, 2011, GECCO '11.

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

Christopher Jankee, Sébastien Vérel, Bilel Derbel, 2017, Artificial Evolution.

On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators

Sébastien Vérel, Bilel Derbel, Cyril Fonlupt, 2020, PPSN.

On the Impact of Multiobjective Scalarizing Functions

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2014, PPSN.

Closed state model for understanding the dynamics of MOEAs

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2017, GECCO.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2009, GECCO.

Using Parallel Strategies to Speed up Pareto Local Search

Qingfu Zhang, Sébastien Vérel, Bilel Derbel, 2017, SEAL.

Fitness landscape analysis around the optimum in computational protein design

Sébastien Vérel, Thomas Schiex, Sophie Barbe, 2018, GECCO.

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

Sébastien Vérel, Kiyoshi Tanaka, Arnaud Liefooghe, 2013, GECCO '13 Companion.

The Connectivity of NK Landscapes' Basins - A Network Analysis

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2008, ALIFE.

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

Sébastien Vérel, Kiyoshi Tanaka, Arnaud Liefooghe, 2014, PPSN.

Learning variable importance to guide recombination

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

On the Neutrality of Flowshop Scheduling Fitness Landscapes pdf

Sébastien Vérel, Arnaud Liefooghe, Laetitia Vermeulen-Jourdan, 2011, LION.

Neutralité dans les paysages de fitness. Évolution artificielle et neutralité

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2006, Tech. Sci. Informatiques.

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

Sébastien Vérel, Luís Paquete, Manuel López-Ibáñez, 2018, GECCO.

Distributed localized bi-objective search

Sébastien Vérel, Bilel Derbel, Arnaud Liefooghe, 2014, Eur. J. Oper. Res..

Communities of Minima in Local Optima Networks of Combinatorial Spaces pdf

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2011, ArXiv.

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

Saúl Zapotecas Martínez, Sébastien Vérel, Kiyoshi Tanaka, 2015, Artificial Evolution.

Density Estimation with Genetic Programming for Inverse Problem Solving

Sébastien Vérel, Manuel Clergue, Michael Defoin-Platel, 2007, EuroGP.

Studying MOEAs dynamics and their performance using a three compartmental model

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2018, GECCO.

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods

Christopher Jankee, Sébastien Vérel, Bilel Derbel, 2016, PPSN.

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

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2010, PPSN.

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

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2006, ACRI.

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

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2014, ArXiv.

Where are bottlenecks in NK fitness landscapes?

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

On set-based local search for multiobjective combinatorial optimization

Sébastien Vérel, Adrien Goëffon, Arnaud Liefooghe, 2013, GECCO '13.

Fitness landscapes and problem hardness in evolutionary computation

Sébastien Vérel, Leonardo Vanneschi, 2007, GECCO '07.

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, Sébastien Vérel, 2005 .

Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2017, EvoCOP.

Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective

Sébastien Vérel, Jean-Michel Do, Mathieu Muniglia, 2017, GECCO.

Local Search Heuristics: Fitness Cloud versus Fitness Landscape pdf

Sébastien Vérel, Philippe Collard, Manuel Clergue, 2004, ECAI.

Estimating Relevance of Variables for Effective Recombination

Sébastien Vérel, Bilel Derbel, Kiyoshi Tanaka, 2019, EMO.

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization

Sébastien Vérel, Kiyoshi Tanaka, Fabio Daolio, 2015, EMO.

A study of NK landscapes' basins and local optima networks

Sébastien Vérel, Marco Tomassini, Christian Darabos, 2008, GECCO '08.

Local Optima Networks of the Permutation Flow-Shop Problem

Sébastien Vérel, Marco Tomassini, Gabriela Ochoa, 2013, Artificial Evolution.

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems

Sébastien Vérel, Arnaud Liefooghe, Alexandru-Ciprian Zavoianu, 2021, GECCO.