Marc Schoenauer

According to our database1, Marc Schoenauer authored at least 200 papers between 1990 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
LEAP nets for power grid perturbations.
CoRR, 2019

Automated Machine Learning with Monte-Carlo Tree Search (Extended Version).
CoRR, 2019

On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.
CoRR, 2019

Multi-Domain Adversarial Learning.
CoRR, 2019

Automated Machine Learning with Monte-Carlo Tree Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Promoting semantic diversity in multi-objective genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
An artificial immune system for offline isolated handwritten arabic character recognition.
Evolving Systems, 2018

Optimization of computational budget for power system risk assessment.
CoRR, 2018

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
CoRR, 2018

Fast Power system security analysis with Guided Dropout.
CoRR, 2018


Anticipating contingengies in power grids using fast neural net screening.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Bio-inspired approaches to anomaly and intrusion detection.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Introducing machine learning for power system operation support.
CoRR, 2017

Stochastic Gradient Descent: Going As Fast As Possible But Not Faster.
CoRR, 2017

Toward Optimal Run Racing: Application to Deep Learning Calibration.
CoRR, 2017

ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler.
Proceedings of the Open Algorithm Selection Challenge 2017, 2017

Progressively adding objectives: a case study in anomaly detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dynamic GP fitness cases in static and dynamic optimisation problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Per instance algorithm configuration of CMA-ES with limited budget.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems.
Proceedings of the Artificial Evolution, 2017

2016
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm.
CoRR, 2016

On the Use of Semantics in Multi-objective Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Feature Based Algorithm Configuration: A Case Study with Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Anti Imitation-Based Policy Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Surrogate Assisted Feature Computation for Continuous Problems.
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Greedy Semantic Local Search for Small Solutions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Memetic Semantic Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

True Pareto Fronts for Multi-objective AI Planning Instances.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

Parameter Setting for Multicore CMA-ES with Large Populations.
Proceedings of the Artificial Evolution, 2015

2014
Racing Multi-Objective Selection Probabilities.
CoRR, 2014

Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES.
CoRR, 2014

Racing Multi-objective Selection Probabilities.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Programming by Feedback.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
CoRR, 2013

Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
CoRR, 2013

Sustainable Cooperative Coevolution with a Multi-Armed Bandit
CoRR, 2013

Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management.
CoRR, 2013

Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management.
CoRR, 2013

Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem.
CoRR, 2013

KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization.
CoRR, 2013

Guest editorial: special issue - revised selected papers of the LION 6 conference.
Ann. Math. Artif. Intell., 2013

Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Pareto-Based Multiobjective AI Planning.
Proceedings of the IJCAI 2013, 2013

Multiobjective optimization for reducing delays and congestion in air traffic management.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Bi-population CMA-ES agorithms with surrogate models and line searches.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es).
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Bandit-Based Search for Constraint Programming.
Proceedings of the Principles and Practice of Constraint Programming, 2013

Multiobjective tactical planning under uncertainty for air traffic flow and capacity management.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods.
Evolutionary Computation, 2012

Benchmarking of Continuous Black Box Optimization Algorithms.
Evolutionary Computation, 2012

Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
CoRR, 2012

Online Learning for Ground Trajectory Prediction
CoRR, 2012

Increasing Air Traffic: What is the Problem?
CoRR, 2012

Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling
CoRR, 2012

APRIL: Active Preference-learning based Reinforcement Learning
CoRR, 2012

Alternative Restart Strategies for CMA-ES
CoRR, 2012

Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed
CoRR, 2012

Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed
CoRR, 2012

Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
CoRR, 2012

The grand challenge of computer Go: Monte Carlo tree search and extensions.
Commun. ACM, 2012

Asynchronous master/slave moeas and heterogeneous evaluation costs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A Multi-objective Approach to Balance Buildings Construction Cost and Energy Efficiency.
Proceedings of the ECAI 2012, 2012

Adaptive Operator Selection and Management in Evolutionary Algorithms.
Proceedings of the Autonomous Search, 2012

2011
Robustness and the Halting Problem for Multicellular Artificial Ontogeny.
IEEE Trans. Evolutionary Computation, 2011

Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems.
Appl. Soft Comput., 2011

Preference-Based Policy Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Simple tools for multimodal optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Adaptive coordinate descent.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Optimizing architectural and structural aspects of buildings towards higher energy efficiency.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Instance-based parameter tuning for evolutionary AI planning.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Not All Parents Are Equal for MO-CMA-ES.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Artificial gene regulatory networks and spatial computation: A case study.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize.
Proceedings of the Artificial Evolution, 2011

Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning.
Proceedings of the Artificial Evolution, 2011

2010
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
CoRR, 2010

Experimental Comparisons of Derivative Free Optimization Algorithms
CoRR, 2010

Evolving Genes to Balance a Pole
CoRR, 2010

Analyzing bandit-based adaptive operator selection mechanisms.
Ann. Math. Artif. Intell., 2010

Dominance-Based Pareto-Surrogate for Multi-Objective Optimization.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Cellular Automata with Irregular Structure: A Compact Representation.
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

Comparison-Based Optimizers Need Comparison-Based Surrogates.
Proceedings of the Parallel Problem Solving from Nature, 2010

Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution.
Proceedings of the Parallel Problem Solving from Nature, 2010

A pareto-compliant surrogate approach for multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A mono surrogate for multiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Toward comparison-based adaptive operator selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

On the generality of parameter tuning in evolutionary planning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

On the Benefit of Sub-optimality within the Divide-and-Evolve Scheme.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2010

An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning.
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

2009
On the evolution of scale-free topologies with a gene regulatory network model.
Biosystems, 2009

Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Evolving specific network statistical properties using a gene regulatory network model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

The impact of network topology on self-organizing maps.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Analysis of adaptive operator selection techniques on the royal road and long k-path problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Extreme: dynamic multi-armed bandits for adaptive operator selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Bringing evolutionary computation to industrial applications with guide.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm.
Proceedings of the Evolutionary Computation, 2009

Divide-And-Evolve Facing State-of-the-Art Temporal Planners during the 6th International Planning Competition.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2009

A Statistical Learning Perspective of Genetic Programming.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Artificial Ontogeny for Truss Structure Design.
Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008

Supervised and Evolutionary Learning of Echo State Networks.
Proceedings of the Parallel Problem Solving from Nature, 2008

Extreme Value Based Adaptive Operator Selection.
Proceedings of the Parallel Problem Solving from Nature, 2008

Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms.
Proceedings of the Advances in Metaheuristics for Hard Optimization, 2008

Unsupervised learning of echo state networks: balancing the double pole.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Adaptive operator selection with dynamic multi-armed bandits.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolving scale-free topologies using a Gene Regulatory Network model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Parameter Control in Evolutionary Algorithms.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

In Memoriam Laurence J. Fogel.
Evolutionary Computation, 2007

Self-adaptive Gossip Policies for Distributed Population-based Algorithms
CoRR, 2007

GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
CoRR, 2007

Optimising the topology of complex neural networks
CoRR, 2007

Evolutionary Mesh Numbering: Preliminary Results
CoRR, 2007

Robust Multi-Cellular Developmental Design
CoRR, 2007

Evolving Symbolic Controllers
CoRR, 2007

Ensemble Learning for Free with Evolutionary Algorithms ?
CoRR, 2007

Parameter Setting for Evolutionary Latent Class Clustering.
Proceedings of the Advances in Computation and Intelligence, 2007

Exploring selection mechanisms for an agent-based distributed evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Autonomous selection in evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Identification of the isotherm function in chromatography using CMA-ES.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny.
Proceedings of the Artificial Evolution, 2007

2006
Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint.
Revue d'Intelligence Artificielle, 2006

Editorial for the Special Issue on the Best of GECCO 2004.
Evolutionary Computation, 2006

On the Benefits of Inoculation, an Example in Train Scheduling
CoRR, 2006

Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
CoRR, 2006

Using Domain Knowledge in Evolutionary System Identification
CoRR, 2006

Genetic Programming, Validation Sets, and Parsimony Pressure
CoRR, 2006

Divide-and-Evolve: a New Memetic Scheme for Domain-Independent Temporal Planning
CoRR, 2006

Blindbuilder: A New Encoding to Evolve Lego-Like Structures.
Proceedings of the Genetic Programming, 9th European Conference, 2006

2005
Artificial Agents and Speculative Bubbles
CoRR, 2005

Evolution of Voronoi based Fuzzy Recurrent Controllers
CoRR, 2005

An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling
CoRR, 2005

ATNoSFERES revisited
CoRR, 2005

Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
CoRR, 2005

A statistical learning theory approach of bloat.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Local and global order 3/2 convergence of a surrogate evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable?
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

A geologically-sound representation for evolutionary multi-objective subsurface identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Preface.
Natural Computing, 2004

Editorial Introduction.
Evolutionary Computation, 2004

Evolution of Voronoi-Based Fuzzy Controllers.
Proceedings of the Parallel Problem Solving from Nature, 2004

Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics.
Proceedings of the Parallel Problem Solving from Nature, 2004

LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation.
Proceedings of the Parallel Problem Solving from Nature, 2004

Pareto optimal sensing strategies for an active vision system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Voronoi Diagrams Based Function Identification.
Proceedings of the Genetic and Evolutionary Computation, 2003

Dimension-Independent Convergence Rate for Non-isotropic (1, lambda) - ES.
Proceedings of the Genetic and Evolutionary Computation, 2003

ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2003

2002
Evolutionary computing.
Inf. Process. Lett., 2002

Compact Unstructured Representations for Evolutionary Design.
Appl. Intell., 2002

A Framework for Distributed Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2002

JEO: Java Evolving Objects.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
A Multiobjective Evolutionary Algorithm for Car Front End Design.
Proceedings of the Artificial Evolution, 2001

Evolving Objects: A General Purpose Evolutionary Computation Library.
Proceedings of the Artificial Evolution, 2001

Surrogate Deterministic Mutation: Preliminary Results.
Proceedings of the Artificial Evolution, 2001

2000
Polar IFS + Parisian Genetic Programming = Efficient IFS Inverse Problem Solving.
Genetic Programming and Evolvable Machines, 2000

An Adaptive Algorithm for Constrained Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature, 2000

Take It EASEA.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
Rigorous Hitting Times for Binary Mutations.
Evolutionary Computation, 1999

Evolutionary Algorithms as Fittness Function Debuggers.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Two Evolutionary Approaches to Design Phase Plate for Tailoring Focal-Plane Irradiance Profile.
Proceedings of the Artificial Evolution, 4th European Conference, 1999

1998
Revisiting the Memory of Evolution.
Fundam. Inform., 1998

A Dynamic Lattice to Evolve Hierarchically Shared Subroutines.
Proceedings of the Genetic Programming, First European Workshop, 1998

Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997
Toward Civilized Evolution: Developing Inhibitions.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Boundary Operators for Constrained Parameter Optimization Problems.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Alternative Random Initialization in Genetic Algorithms.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Inductive Learning of Mutation Step-Size in Evolutionary Parameter Optimization.
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997

Mimetic Evolution.
Proceedings of the Artificial Evolution, Third European Conference, 1997

A Priori Comparison of Binary Crossover Operators: No Universal Statistical Measure, But a Set of Hints.
Proceedings of the Artificial Evolution, Third European Conference, 1997

1996
Evolutionary Algorithms for Constrained Parameter Optimization Problems.
Evolutionary Computation, 1996

Mutation by Imitation in Boolean Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 1996

Evolutionary Computation at the Edge of Feasibility.
Proceedings of the Parallel Problem Solving from Nature, 1996

Controlling Evolution by Means of Machine Learning.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

Shape Representations and Evolution Schemes.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996

1995
A numerical strategy to defectuous knowledge using.
Annals OR, 1995

Evolutionary Chromatographic Law Identification by Recurrent Neural Nets.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

Genetic Algorithms for Automatic Regrouping of Air Traffic Control Sectors.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

An Induction-based Control for Genetic Algorithms (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

How Long Does It Take to Evolve a Neural Net?
Proceedings of the Artificial Evolution, European Conference, 1995

Induction-Based Control of Genetic Algorithms.
Proceedings of the Artificial Evolution, European Conference, 1995

Genetic Operators for Two-Dimensional Shape Optimization.
Proceedings of the Artificial Evolution, European Conference, 1995

1994
Controlling Crossover through Inductive Learning.
Proceedings of the Parallel Problem Solving from Nature, 1994

Genetic Lander: An Experiment in Accurate Neuro-Genetic Control.
Proceedings of the Parallel Problem Solving from Nature, 1994

Neuro-Genetic Truck Backer-Upper Controller.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Genetic Algorithms for Air Traffic Assignment.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994

1993
Constrained GA Optimization.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

A Rule-Based Similarity Measure.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1992
Learning to Control Inconsistent Knowledge.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991
Using Examples to Refine a Redundant Knowledge Base.
Proceedings of the European Workshop on the Verification and Validation of Knowledge-Based Systems, 1991

1990
Incremental Learning of Rules and Meta-rules.
Proceedings of the Machine Learning, 1990


  Loading...