Adrien Goëffon

According to our database, Adrien Goëffon authored at least 42 papers between 2005 and 2024.

Collaborative distances:

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

2024

A large population island framework for the unconstrained binary quadratic problem.

Olivier Goudet, Adrien Goëffon, Jin-Kao Hao

Comput. Oper. Res., 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

Emergence of New Local Search Algorithms with Neuro-Evolution.

Olivier Goudet, Mohamed Salim Amri Sakhri, Adrien Goëffon, Frédéric Saubion

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2023

Expansion-based Hill-climbing.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Inf. Sci., November, 2023

2022

Partial neighborhood local searches.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Int. Trans. Oper. Res., 2022

From fitness landscapes evolution to automatic local search algorithm generation.

Vincent Hénaux, Adrien Goëffon, Frédéric Saubion

Int. Trans. Oper. Res., 2022

2021

On the use of (1, λ )-evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Nat. Comput., 2021

2020

Evolution of Deterministic Hill-climbers.

Vincent Hénaux, Adrien Goëffon, Frédéric Saubion

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Evolving search trajectories.

Vincent Hénaux, Adrien Goëffon, Frédéric Saubion

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

2019

Evolving Fitness Landscapes with Complementary Fitness Functions.

Vincent Hénaux, Adrien Goëffon, Frédéric Saubion

Proceedings of the Artificial Evolution, 2019

2018

Worst Improvement Based Iterated Local Search.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017

PUSH: A generalized operator for the Maximum Vertex Weight Clique Problem.

Yi Zhou, Jin-Kao Hao, Adrien Goëffon

Eur. J. Oper. Res., 2017

Sampled Walk and Binary Fitness Landscapes Exploration.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Proceedings of the Artificial Evolution, 2017

2016

A three-phased local search approach for the clique partitioning problem.

Yi Zhou, Jin-Kao Hao, Adrien Goëffon

J. Comb. Optim., 2016

Simulating non-stationary operators in search algorithms.

Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

Appl. Soft Comput., 2016

Toward the Design of Efficient Pivoting Rules for Local Search.

Sara Tari, Matthieu Basseur, Adrien Goëffon

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Experiments on Greedy and Local Search Heuristics for <i>d</i>dimensional Hypervolume Subset Selection.

Matthieu Basseur, Bilel Derbel, Adrien Goëffon, Arnaud Liefooghe

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Climbing combinatorial fitness landscapes.

Matthieu Basseur, Adrien Goëffon

Appl. Soft Comput., 2015

Empirical Analysis of Operators for Permutation Based Problems.

Pierre Desport, Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Exploring Non-neutral Landscapes with Neutrality-Based Local Search.

Matthieu Basseur, Adrien Goëffon, Hugo Traverson

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Combining Mutation and Recombination to Improve a Distributed Model of Adaptive Operator Selection.

Jorge Alberto Soria-Alcaraz, Gabriela Ochoa, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

Proceedings of the Artificial Evolution, 2015

2014

On the Attainability of NK Landscapes Global Optima.

Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Vincent Vigneron

Proceedings of the Seventh Annual Symposium on Combinatorial Search, 2014

On the efficiency of worst improvement for climbing NK-landscapes.

Matthieu Basseur, Adrien Goëffon

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Parameter Setting with Dynamic Island Models.

Caner Candan, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

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

Hill-Climbing Behavior on Quantized NK-Landscapes.

Matthieu Basseur, Adrien Goëffon

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

Non stationary operator selection with island models.

Caner Candan, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

Proceedings of the Genetic and Evolutionary Computation 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

Hill-climbing strategies on various landscapes: an empirical comparison.

Matthieu Basseur, Adrien Goëffon

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

Minimum multiple characterization of biological data using partially defined boolean formulas.

Fabien Chhel, Frédéric Lardeux, Adrien Goëffon, Frédéric Saubion

Proceedings of the ACM Symposium on Applied Computing, 2012

Autonomous Local Search Algorithms with Island Representation.

Adrien Goëffon, Frédéric Lardeux

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

A dynamic island model for adaptive operator selection.

Caner Candan, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

The bacterial strains characterization problem.

Fabien Chhel, Adrien Goëffon, Antoine Lafosse, Frédéric Lardeux, Frédéric Saubion, Gilles Hunault, Tristan Boureau

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Optimal One-Max Strategy with Dynamic Island Models.

Adrien Goëffon, Frédéric Lardeux

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Experimental Approach for Bacterial Strains Characterization.

Fabien Chhel, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Gilles Hunault, Tristan Boureau

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010

A Dynamic Island-Based Genetic Algorithms Framework.

Frédéric Lardeux, Adrien Goëffon

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

2009

Swarming along the evolutionary branches sheds light on genome rearrangement scenarios.

Nikolay Vyahhi, Adrien Goëffon, Macha Nikolski, David James Sherman

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony.

Jean-Michel Richer, Adrien Goëffon, Jin-Kao Hao

Proceedings of the Evolutionary Computation, 2009

2008

Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem.

Adrien Goëffon, Jean-Michel Richer, Jin-Kao Hao

IEEE ACM Trans. Comput. Biol. Bioinform., 2008

An efficient probabilistic population-based descent for the median genome problem.

Adrien Goëffon, Macha Nikolski, David James Sherman

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2006

Nouvelles heuristiques de voisinage et mémétiques pour le problème Maximum de Parcimonie. (New neighborhood and memetic heuristics for theMaximum Parsimony problem).

Adrien Goëffon

PhD thesis, 2006

A Distance-Based Information Preservation Tree Crossover for the Maximum Parsimony Problem.

Adrien Goëffon, Jean-Michel Richer, Jin-Kao Hao

Proceedings of the Parallel Problem Solving from Nature, 2006

2005

Local Search for the Maximum Parsimony Problem.

Adrien Goëffon, Jean-Michel Richer, Jin-Kao Hao

Proceedings of the Advances in Natural Computation, First International Conference, 2005