Johann Dréo

According to our database, Johann Dréo authored at least 39 papers between 2002 and 2023.

Collaborative distances:

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

2023

MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front.

Alexandre Quemy, Marc Schoenauer, Johann Dréo

CoRR, 2023

Interplay of Human and AI Solvers on a Planning Problem.

Afshin Ameri Ekhtiarabadi, Branko Miloradovic, Baran Çürüklü, Alessandro V. Papadopoulos, Mikael Ekström, Johann Dréo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Automated algorithm selection for radar network configuration.

Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr

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

Tackling Threatening behavior through a Semantic Approach.

Claire Laudy, Simon Fossier, Johann Dréo

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

Dataset, January, 2021

Extensible Logging and Empirical Attainment Function for IOHexperimenter.

Johann Dréo, Manuel López-Ibáñez

CoRR, 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

Towards large scale automated algorithm design by integrating modular benchmarking frameworks.

Amine Aziz-Alaoui, Carola Doerr, Johann Dréo

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

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

Proceedings of the Applications of Evolutionary Computation, 2021

2020

Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy".

Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr

Dataset, June, 2020

Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy.

Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr

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

2019

Expressiveness and robustness of landscape features.

Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Coupling the design of benchmark with algorithm in landscape-aware solver design.

Johann Dréo, Carola Doerr, Yann Semet

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Making a case for (Hyper-)parameter tuning as benchmark problems.

Carola Doerr, Johann Dréo, Pascal Kerschke

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017

Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance.

Jean-Marie Mirebeau, Johann Dréo

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Per instance algorithm configuration of CMA-ES with limited budget.

Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Feature Based Algorithm Configuration: A Case Study with Differential Evolution.

Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer

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

Surrogate Assisted Feature Computation for Continuous Problems.

Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

2015

Line formation algorithm in a swarm of reactive robots constrained by underwater environment.

Thomas Sousselier, Johann Dréo, Marc Sevaux

Expert Syst. Appl., 2015

Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve.

Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant

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

Parameter Setting for Multicore CMA-ES with Large Populations.

Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer

Proceedings of the Artificial Evolution, 2015

2014

Applying MapReduce principle to high level information fusion.

Claire Laudy, Johann Dréo, Christophe Gouguenheim

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning.

Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant

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

Pareto-Based Multiobjective AI Planning.

Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant

Proceedings of the IJCAI 2013, 2013

Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches.

Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark.

Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant

Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012

Line formation algorithm in a self-organized swarm of micro-underwater unmanned vehicles.

Thomas Sousselier, Johann Dréo, Jean-Philippe Brunet

Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

2011

Parallel divide-and-evolve: experiments with OpenMP on a multicore machine.

Caner Candan, Johann Dréo, Pierre Savéant, Vincent Vidal

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

2009

Using performance fronts for parameter setting of stochastic metaheuristics.

Johann Dréo

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2007

Adaptive Learning Search, a New Tool to Help Comprehending Metaheuristics.

Johann Dréo, Jean-Philippe Aumasson, Walid Tfaili, Patrick Siarry

Int. J. Artif. Intell. Tools, 2007

Hybrid Continuous Interacting Ant Colony aimed at Enhanced Global Optimization.

Johann Dréo, Patrick Siarry

Algorithmic Oper. Res., 2007

Operating Room Planning with Random Surgery Times.

Mehdi Lamiri, Johann Dréo, Xiaolan Xie

Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006

Métaheuristiques pour l'optimisation et auto-organisation dans les systèmes biologiques.

Johann Dréo, Patrick Siarry

Tech. Sci. Informatiques, 2006

Robust rigid registration of retinal angiograms through optimization.

Johann Dréo, Jean Claude Nunes, Patrick Siarry

Comput. Medical Imaging Graph., 2006

An ant colony algorithm aimed at dynamic continuous optimization.

Johann Dréo, Patrick Siarry

Appl. Math. Comput., 2006

2004

Continuous interacting ant colony algorithm based on dense heterarchy.

Johann Dréo, Patrick Siarry

Future Gener. Comput. Syst., 2004

Dynamic Optimization Through Continuous Interacting Ant Colony.

Johann Dréo, Patrick Siarry

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003

Adaptation de la métaheuristique des colonies de fourmis pour l'optimisation difficile en variables continues. Application en génie biologique et médical. (Adaptation of the ant colony metaheuristic to hard optimization with continuous variables. Application in biologic and medical engineering).

Johann Dréo

PhD thesis, 2003

2002

A New Ant Colony Algorithm Using the Heterarchical Concept Aimed at Optimization of Multiminima Continuous Functions.

Johann Dréo, Patrick Siarry

Proceedings of the Ant Algorithms, Third International Workshop, 2002