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A. E. Eiben

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

90

Venues

18

Active years

1990–2025

Best venue rank

A*

Where they publish

Papers

90 indexed papers, newest first.

YearVenueTitleAuthors
2025HRIActive Robot Curriculum Learning from Online Human Demonstrations.Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
2025ICRARobot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach.Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
2024PPSNExploring Proprioceptive Feedback in the Evolution of Modular Robots.Babak Hosseinkhani Kargar, Karine Miras, A. E. Eiben
2023EUROGPInteracting Robots in an Artificial Evolutionary Ecosystem.Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben
2023RO-MANShaping Imbalance into Balance: Active Robot Guidance of Human Teachers for Better Learning from Demonstrations.Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
2023RO-MANA Process-Oriented Framework for Robot Imitation Learning in Human-Centered Interactive Tasks.Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
2022GECCOEnvironment induced emergence of collective behavior in evolving swarms with limited sensing.Fuda van Diggelen, Jie Luo, Tugay Alperen Karagzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben
2022IJCCIEvolving Embodied Intelligence.A. E. Eiben
2021GECCOThe impact of different tasks on evolved robot morphologies.Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben
2021GECCOComparing lifetime learning methods for morphologically evolving robots.Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
2021GECCOEvo-RL: evolutionary-driven reinforcement learning.Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
2021GECCOA coevolutionary approach to deep multi-agent reinforcement learning.Daan Klijn, A. E. Eiben
2021GECCOImpact of energy efficiency on the morphology and behaviour of evolved robots.Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
2021GECCOBehavior-based neuroevolutionary training in reinforcement learning.Jrg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
2020GECCOComparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots.Matteo De Carlo, Eliseo Ferrante, A. E. Eiben
2020GECCOParallelized bayesian optimization for problems with expensive evaluation functions.Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2020GECCOIf it evolves it needs to learn.A. E. Eiben, Emma Hart
2020ICSEEvolving robot software and hardware.A. E. Eiben
2020PPSNParallelized Bayesian Optimization for Expensive Robot Controller Evolution.Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
2019GECCOEvolutionary predator-prey robot systems: from simulation to real world.Gongjin Lan, Jiunhan Chen, A. E. Eiben
2019GECCOEffects of environmental conditions on evolved robot morphologies and behavior.Karine Miras, A. E. Eiben
2019GECCOSurrogate models for enhancing the efficiency of neuroevolution in reinforcement learning.Jrg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
2018ICARCVReal-Time Robot Vision on Low-Performance Computing Hardware.Gongjin Lan, Jess Benito-Picazo, Diederik M. Roijers, Enrique Domnguez, A. E. Eiben
2018PPSNDirected Locomotion for Modular Robots with Evolvable Morphologies.Gongjin Lan, Milan Jelisavcic, Diederik M. Roijers, Evert Haasdijk, A. E. Eiben
2017GECCOIs social learning more than parameter tuning?Jacqueline Heinerman, Jrg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk
2017GECCOAcquiring moving skills in robots with evolvable morphologies: recent results and outlook.Milan Jelisavcic, Evert Haasdijk, A. E. Eiben
2017GECCOBenefits of lamarckian evolution for morphologically evolving robots.Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben
2015AIMEAn Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care.Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking
2015GECCOThree-fold Adaptivity in Groups of Robots: The Effect of Social Learning.Jacqueline Heinerman, Dexter Drupsteen, A. E. Eiben
2014ALIFEMaking MONEE.Evert Haasdijk, Nicolas Bredche, A. E. Eiben
2014GECCOFate agent evolutionary algorithms with self-adaptive mutation.Arthur Ervin Avramiea, Giorgos Karafotias, A. E. Eiben
2014GECCOOn the locality of neural meta-representations.Lus F. Simes, A. E. Eiben
2013CECMaintaining population diversity in evolutionary art using structured populations.Eelco den Heijer, A. E. Eiben
2013CECWhy parameter control mechanisms should be benchmarked against random variation.Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben
2013GECCOSelf-adapting fitness evaluation times for on-line evolution of simulated robots.Cristian M. Dinu, Plamen Dimitrov, Berend Weel, A. E. Eiben
2013GECCORight on the MONEE: combining task- and environment-driven evolution.Evert Haasdijk, Berend Weel, A. E. Eiben
2013GECCOParameter control: strategy or luck?Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben
2012PPSNIt's Fate: A Self-organising Evolutionary Algorithm.Jan Bm, Giorgos Karafotias, Selmar K. Smit, A. E. Eiben, Evert Haasdijk
2012PPSNOn-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments.Berend Weel, Mark Hoogendoorn, A. E. Eiben
2011GECCOEmbodied artificial evolution: the future of artificial evolutionary systems.A. E. Eiben, N. Ferreira, Martijn C. Schut, Serge Kernbach
2010CECEvolution of a risk coefficient in artificial societies.Vincent van der Goes, A. E. Eiben
2010CECOn-line evolution of robot controllers by an encapsulated evolution strategy.Evert Haasdijk, A. E. Eiben, Giorgos Karafotias
2010CECUsing aesthetic measures to evolve art.Eelco den Heijer, A. E. Eiben
2010CECBeating the 'world champion' evolutionary algorithm via REVAC tuning.Selmar K. Smit, A. E. Eiben
2010IJCCIAn MOEA-based Method to Tune EA Parameters on Multiple Objective Functions.Selmar K. Smit, A. E. Eiben, Zoltn Szlvik
2009CECWhat is situated evolution?Martijn C. Schut, Evert Haasdijk, A. E. Eiben
2009CECComparing parameter tuning methods for evolutionary algorithms.Selmar K. Smit, A. E. Eiben
2008CECLearning benefits evolution if sex gives pleasure.Robert Griffioen, Selmar K. Smit, A. E. Eiben
2008CECSocial learning in Population-based Adaptive Systems.Evert Haasdijk, Paul Vogt, A. E. Eiben
2008EuroParP2P Evolutionary Algorithms: A Suitable Approach for Tackling Large Instances in Hard Optimization Problems.Juan Luis Jimnez Laredo, A. E. Eiben, Maarten van Steen, Pedro A. Castillo, Antonio Miguel Mora, Juan Julin Merelo Guervs
2007CECParameter calibration using meta-algorithms.W. A. de Landgraaf, A. E. Eiben, Volker Nannen
2007CECEfficient relevance estimation and value calibration of evolutionary algorithm parameters.Volker Nannen, A. E. Eiben
2007CECEmergent specialization in the extended multi-rover problem.Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
2007GECCOAutonomous selection in evolutionary algorithms.A. E. Eiben, Marc Schoenauer, D. W. F. van Krevelen, M. C. Hobbelman, M. A. ten Hagen, R. C. van het Schip
2007GECCOExploring selection mechanisms for an agent-based distributed evolutionary algorithm.A. E. Eiben, Marc Schoenauer, Juan Luis Jimnez Laredo, Pedro ngel Castillo Valdivieso, Antonio Miguel Mora, Juan Julin Merelo Guervs
2007GECCOVariance reduction in meta-EDA.Volker Nannen, A. E. Eiben
2007GECCOCollective specialization in multi-rover systems.Geoff Nitschke, Martijn C. Schut, A. E. Eiben
2007GECCOPeer-to-peer evolutionary algorithms with adaptive autonomous selection.W. R. M. U. K. Wickramasinghe, Maarten van Steen, A. E. Eiben
2007IJCAIRelevance Estimation and Value Calibration of Evolutionary Algorithm Parameters.Volker Nannen, A. E. Eiben
2006CECBoosting Genetic Algorithms with Self-Adaptive Selection.A. E. Eiben, Martijn C. Schut, A. R. de Wilde
2006GECCOA method for parameter calibration and relevance estimation in evolutionary algorithms.Volker Nannen, A. E. Eiben
2006PPSNIs Self-adaptation of Selection Pressure and Population Size Possible? - A Case Study.A. E. Eiben, Martijn C. Schut, A. R. de Wilde
2005CECEffects of evolutionary and lifetime learning on minds and bodies in an artifical society.Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut
2005CECHybrid evolutionary algorithms for constraint satisfaction problems: memetic overkill?Bart G. W. Craenen, A. E. Eiben
2005CECEvolving an agent collective for cooperative mine sweeping.A. E. Eiben, Geoff Nitschke, Martijn C. Schut
2005GECCOComparing multicast and newscast communication in evolving agent societies.A. E. Eiben, Martijn C. Schut, T. Toma
2004CECCooperation and communication in evolving artificial societies.P. C. Buzing, A. E. Eiben, Martijn C. Schut, T. Toma
2004PPSNEvolutionary Algorithms with On-the-Fly Population Size Adjustment.A. E. Eiben, Elena Marchiori, V. A. Valk
2002PPSNA Framework for Distributed Evolutionary Algorithms.Maribel Garca Arenas, Pierre Collet, A. E. Eiben, Mrk Jelasity, Juan Julin Merelo Guervs, Ben Paechter, Mike Preu, Marc Schoenauer
2002PPSNOperator Learning for a Problem Class in a Distributed Peer-to-Peer Environment.Mrk Jelasity, Mike Preu, A. E. Eiben
2000CECSolving constraint satisfaction problems with heuristic-based evolutionary algorithms.Bart G. W. Craenen, A. E. Eiben, Elena Marchiori
2000GECCOCombining Local Search and Fitness Function Adaptation in a GA for Solving Binary Constraint Satisfaction Problems.Bart G. W. Craenen, A. E. Eiben, Elena Marchiori, Adri G. Steenbeek
2000GECCOSolving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating.A. E. Eiben, B. Jansen, Zbigniew Michalewicz, Ben Paechter
2000PPSNAn Empirical Study on GAs "Without Parameters".Thomas Bck, A. E. Eiben, Nikolai A. L. van der Vaart
1999CECOn the real arity of multiparent recombination.Ida G. Sprinkhuizen-Kuyper, C. A. Schippers, A. E. Eiben
1999EUROGPAdapting the Fitness Function in GP for Data Mining.Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
1999GECCOPopulation dynamics and emerging mental features in AEGIS.A. E. Eiben, Donatello Elia, Jano I. van Hemert
1999IDAA Comparison of Genetic Programming Variants for Data Classification.Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
1998EUROGPGenetic Modelling of Customer Retention.A. E. Eiben, A. E. Koudijs, Frank Slisser
1998PPSNSolving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function.A. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek
1997ICECSolving 3-SAT by GAs adapting constraint weights.A. E. Eiben, J. K. van der Hauw
1997ICECAdaptation in evolutionary computation: a survey.Robert Hinterding, Zbigniew Michalewicz, A. E. Eiben
1997ICECA multi-sexual genetic algorithm for multiobjective optimization.Joanna Lis, A. E. Eiben
1996ICECSelf-Adaptivity for Constraint Satisfaction: Learning Penalty Functions.A. E. Eiben, Zsfia Ruttkay
1996ISMISEvolutionary Exploration of Search Spaces.A. E. Eiben
1996PPSNMulti-Parent's Niche: n-ary Crossovers on NK-Landscapes.A. E. Eiben, C. A. Schippers
1995CPGA-easy and GA-hard Constraint Satisfaction Problems.A. E. Eiben, Paul-Erik Rau, Zsfia Ruttkay
1994ICECSolving Constraint Satisfaction Problems Using Genetic Algorithms.A. E. Eiben, Paul-Erik Rau, Zsfia Ruttkay
1994PPSNGenetic algorithms with multi-parent recombination.A. E. Eiben, Paul-Erik Rau, Zsfia Ruttkay
1990PPSNGlobal Convergence of Genetic Algorithms: A Markov Chain Analysis.A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee