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ORCIDA. E. Eiben
Ágoston E. Eiben – Gusz Eiben – Guszti Eiben
Person information
- affiliation: VU Amsterdam, Department of Computer Science, The Netherlands
- affiliation: Leiden University, Department of Computer Science, The Netherlands
- affiliation (PhD): Eindhoven University of Technology, The Netherlands
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Books and Theses
- 2015
[b2]A. E. Eiben, James E. Smith:
Introduction to Evolutionary Computing, Second Edition. Natural Computing Series, Springer 2015, ISBN 978-3-662-44873-1, pp. 1-258- 2003
- [b1]A. E. Eiben, James E. Smith:
Introduction to Evolutionary Computing. Natural Computing Series, Springer 2003, ISBN 978-3-642-07285-7, pp. 1-300
Journal Articles
- 2023
- [j56]Mike Angus
, Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Jon Timmis, Andy M. Tyrrell:
Practical hardware for evolvable robots. Frontiers Robotics AI 10 (2023) - [j55]Karine Miras, Decebal Constantin Mocanu, A. E. Eiben:
Hu-bot: promoting the cooperation between humans and mobile robots. Neural Comput. Appl. 35(23): 16841-16852 (2023) - [j54]Tugay Alperen Karagüzel, Ali Emre Turgut, A. E. Eiben, Eliseo Ferrante:
Collective gradient perception with a flying robot swarm. Swarm Intell. 17(1-2): 117-146 (2023) - [j53]Fuda van Diggelen, Eliseo Ferrante, Nihed Harrak, Jie Luo, Daan Zeeuwe, A. E. Eiben:
The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap. IEEE Trans. Cogn. Dev. Syst. 15(2): 499-506 (2023) - [j52]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism. IEEE Trans. Cogn. Dev. Syst. 15(2): 507-517 (2023) - 2022
- [j51]Karine Miras, A. E. Eiben:
How the History of Changing Environments Affects Traits of Evolvable Robot Populations. Artif. Life 28(2): 224-239 (2022) - [j50]Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben:
Co-optimizing for task performance and energy efficiency in evolvable robots. Eng. Appl. Artif. Intell. 113: 104968 (2022) - [j49]Jie Luo, Aart C. Stuurman, Jakub M. Tomczak, Jacintha Ellers, Ágoston E. Eiben:
The Effects of Learning in Morphologically Evolving Robot Systems. Frontiers Robotics AI 9: 797393 (2022) - [j48]Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new taxonomy of global optimization algorithms. Nat. Comput. 21(2): 219-242 (2022) - [j47]Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Time efficiency in optimization with a bayesian-Evolutionary algorithm. Swarm Evol. Comput. 69: 100970 (2022) - 2021
- [j46]Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Learning directed locomotion in modular robots with evolvable morphologies. Appl. Soft Comput. 111: 107688 (2021) - [j45]A. E. Eiben:
Real-World Robot Evolution: Why Would it (not) Work? Frontiers Robotics AI 8: 696452 (2021) - [j44]Ágoston E. Eiben, Jacintha Ellers, Gerben Meynen, Sven Nyholm:
Robot Evolution: Ethical Concerns. Frontiers Robotics AI 8: 744590 (2021) - [j43]Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben:
Learning locomotion skills in evolvable robots. Neurocomputing 452: 294-306 (2021) - 2020
- [j42]Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling:
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53(8): 18-28 (2020) - [j41]Karine Miras, Eliseo Ferrante, A. E. Eiben:
Environmental Regulation Using Plasticoding for the Evolution of Robots. Frontiers Robotics AI 7: 107 (2020) - [j40]Edgar Buchanan, Léni K. Le Goff, Wei Li, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication. Robotics 9(4): 106 (2020) - 2019
- [j39]Milan Jelisavcic, Kyrre Glette, Evert Haasdijk, A. E. Eiben:
Lamarckian Evolution of Simulated Modular Robots. Frontiers Robotics AI 6: 9 (2019) - [j38]Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben:
Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics. Frontiers Robotics AI 6: 10 (2019) - [j37]David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. Nat. Mach. Intell. 1(1): 12-19 (2019) - 2018
- [j36]Csaba Virágh, Gergo Somorjai, Tamás Nepusz, Ágoston E. Eiben, Tamás Vicsek:
Optimized flocking of autonomous drones in confined environments. Sci. Robotics 3(20) (2018) - 2017
- [j35]Berend Weel, M. D'Angelo, Evert Haasdijk, A. E. Eiben:
Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes. Artif. Life 23(1): 80-104 (2017) - [j34]Milan Jelisavcic, Matteo De Carlo, Elte Hupkes, Panagiotis Eustratiadis, Jakub Orlowski, Evert Haasdijk, Joshua Evan Auerbach, A. E. Eiben:
Real-World Evolution of Robot Morphologies: A Proof of Concept. Artif. Life 23(2): 206-235 (2017) - [j33]Ward van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking:
Assessment of temporal predictive models for health care using a formal method. Comput. Biol. Medicine 87: 347-357 (2017) - [j32]Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben:
Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams. Neurocomputing 262: 90-107 (2017) - 2016
- [j31]Eelco den Heijer, A. E. Eiben:
Using scalable vector graphics to evolve art. Int. J. Arts Technol. 9(1): 59-85 (2016) - 2015
- [j30]Stéphane Doncieux, Nicolas Bredèche, Jean-Baptiste Mouret, A. E. Eiben:
Evolutionary Robotics: What, Why, and Where to. Frontiers Robotics AI 2: 4 (2015) - [j29]Ágoston E. Eiben, James E. Smith:
From evolutionary computation to the evolution of things. Nat. 521(7553): 476-482 (2015) - [j28]Giorgos Karafotias, Mark Hoogendoorn, Ágoston E. Eiben:
Parameter Control in Evolutionary Algorithms: Trends and Challenges. IEEE Trans. Evol. Comput. 19(2): 167-187 (2015) - 2014
- [j27]Evert Haasdijk, Nicolas Bredèche, Stefano Nolfi, A. E. Eiben:
Evolutionary robotics. Evol. Intell. 7(2): 69-70 (2014) - [j26]Claudio Rossi, A. E. Eiben:
Simultaneous versus incremental learning of multiple skills by modular robots. Evol. Intell. 7(2): 119-131 (2014) - [j25]Ágoston E. Eiben:
Grand Challenges for Evolutionary Robotics. Frontiers Robotics AI 1: 4 (2014) - [j24]Eelco den Heijer, A. E. Eiben:
Investigating aesthetic measures for unsupervised evolutionary art. Swarm Evol. Comput. 16: 52-68 (2014) - 2012
- [j23]Christophe Guéret, Stefan Schlobach, Kathrin Dentler, Martijn C. Schut, Gusz Eiben:
Evolutionary and Swarm Computing for the Semantic Web. IEEE Comput. Intell. Mag. 7(2): 16-31 (2012) - [j22]Alberto Montresor, Guszti Eiben, Maarten van Steen:
Extreme distributed systems: from large scale to complexity. Computing 94(8-10): 619-620 (2012) - [j21]Evert Haasdijk, Selmar K. Smit, A. E. Eiben:
Exploratory analysis of an on-line evolutionary algorithm in simulated robots. Evol. Intell. 5(4): 213-230 (2012) - [j20]A. E. Eiben, Serge Kernbach, Evert Haasdijk:
Embodied artificial evolution - Artificial evolutionary systems in the 21st Century. Evol. Intell. 5(4): 261-272 (2012) - [j19]Geoff S. Nitschke, A. E. Eiben, Martijn C. Schut:
Evolving team behaviors with specialization. Genet. Program. Evolvable Mach. 13(4): 493-536 (2012) - [j18]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Evolving behavioral specialization in robot teams to solve a collective construction task. Swarm Evol. Comput. 2: 25-38 (2012) - 2011
- [j17]A. E. Eiben, Selmar K. Smit:
Parameter tuning for configuring and analyzing evolutionary algorithms. Swarm Evol. Comput. 1(1): 19-31 (2011) - 2010
- [j16]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task. Evol. Intell. 3(1): 13-29 (2010) - [j15]Juan Luis Jiménez Laredo, A. E. Eiben, Maarten van Steen, Juan Julián Merelo Guervós:
EvAg: a scalable peer-to-peer evolutionary algorithm. Genet. Program. Evolvable Mach. 11(2): 227-246 (2010) - 2007
- [j14]A. E. Eiben, Catholijn M. Jonker, Viara Popova, Martijn C. Schut:
On the Formal Analysis of the Dynamics of Simulated Agent Societies. Int. J. Cooperative Inf. Syst. 16(1): 27-50 (2007) - 2006
- [j13]Nigel Gilbert, Matthijs den Besten, Ákos Bontovics, Bart G. W. Craenen, Federico Divina, Ágoston E. Eiben, Robert Griffioen, György Hévízi, András Lörincz, Ben Paechter, Stephan C. Schuster, Martijn C. Schut, Christian Tzolov, Paul Vogt, Lu Yang:
Emerging Artificial Societies Through Learning. J. Artif. Soc. Soc. Simul. 9(2) (2006) - 2005
- [j12]P. C. Buzing, Ágoston E. Eiben, Martijn C. Schut:
Emerging communication and cooperation in evolving agent societies. J. Artif. Soc. Soc. Simul. 8(1) (2005) - 2004
- [j11]A. E. Eiben, James E. Smith:
Authors' Answer to the Book Review of Introduction to Evolutionary Computing Published in Issue 12: 2. Evol. Comput. 12(3): 395 (2004) - 2003
- [j10]Bart G. W. Craenen, A. E. Eiben, Jano I. van Hemert:
Comparing evolutionary algorithms on binary constraint satisfaction problems. IEEE Trans. Evol. Comput. 7(5): 424-444 (2003) - 2002
- [j9]A. E. Eiben, Marc Schoenauer:
Evolutionary computing. Inf. Process. Lett. 82(1): 1-6 (2002) - [j8]Grzegorz Rozenberg, A. E. Eiben, Joost N. Kok:
Preface. Theor. Comput. Sci. 287(1): 1-2 (2002) - 1999
- [j7]A. E. Eiben, Günter Rudolph:
Theory of Evolutionary Algorithms: A Bird's Eye View. Theor. Comput. Sci. 229(1): 3-9 (1999) - [j6]A. E. Eiben, Robert Hinterding, Zbigniew Michalewicz:
Parameter control in evolutionary algorithms. IEEE Trans. Evol. Comput. 3(2): 124-141 (1999) - 1998
- [j5]A. E. Eiben, C. A. Schippers:
On Evolutionary Exploration and Exploitation. Fundam. Informaticae 35(1-4): 35-50 (1998) - [j4]A. E. Eiben, J. K. van der Hauw, Jano I. van Hemert:
Graph Coloring with Adaptive Evolutionary Algorithms. J. Heuristics 4(1): 25-46 (1998) - 1997
- [j3]A. E. Eiben, Thomas Bäck:
Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies. Evol. Comput. 5(3): 347-365 (1997) - 1996
- [j2]A. Jánossy, Ágnes Kurucz, A. E. Eiben:
Combining Algebraizable Logics. Notre Dame J. Formal Log. 37(2): 366-380 (1996) - 1995
- [j1]A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee, W. P. M. Nuijten:
A unifying approach to heuristic search. Ann. Oper. Res. 55(1): 81-99 (1995)
Conference and Workshop Papers
- 2023
- [c182]Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben:
Interacting Robots in an Artificial Evolutionary Ecosystem. EuroGP 2023: 339-354 - [c181]Ege de Bruin, Julian Hatzky, Babak Hosseinkhani Kargar, A. E. Eiben:
A Multi-brain Approach for Multiple Tasks in Evolvable Robots. EvoApplications@EvoStar 2023: 129-144 - [c180]Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka:
Shaping Imbalance into Balance: Active Robot Guidance of Human Teachers for Better Learning from Demonstrations. RO-MAN 2023: 1737-1744 - [c179]Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka:
A Process-Oriented Framework for Robot Imitation Learning in Human-Centered Interactive Tasks. RO-MAN 2023: 1745-1752 - [c178]Oliver Weissl, A. E. Eiben:
Morphological-Novelty in Modular Robot Evolution. SSCI 2023: 1066-1071 - [c177]Aart C. Stuurman, Anil Yaman, A. E. Eiben:
An Approach to Representation Learning in Morphological Robot Evolution. SSCI 2023: 1072-1077 - [c176]Jie Luo, Jakub M. Tomczak, Karine Miras, Ágoston E. Eiben:
A Comparison of Controller Architectures and Learning Mechanisms for Arbitrary Robot Morphologies. SSCI 2023: 1518-1525 - 2022
- [c175]Tugay Alperen Karagüzel, Nicolas Cambier, A. E. Eiben, Eliseo Ferrante:
Collective Gradient Following with Sensory Heterogeneous UAV Swarm. DARS 2022: 187-201 - [c174]Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben:
Environment induced emergence of collective behavior in evolving swarms with limited sensing. GECCO 2022: 31-39 - [c173]Emiel M. W. Kempen, Ágoston E. Eiben:
Evolving robot bodies with a sense of direction. GECCO Companion 2022: 120-123 - [c172]A. E. Eiben:
Evolving Embodied Intelligence. IJCCI 2022: 7 - 2021
- [c171]Margarita Rebolledo, A. E. Eiben, Thomas Bartz-Beielstein:
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. EvoApplications 2021: 373-387 - [c170]Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben:
The impact of different tasks on evolved robot morphologies. GECCO Companion 2021: 91-92 - [c169]Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben:
Comparing lifetime learning methods for morphologically evolving robots. GECCO Companion 2021: 93-94 - [c168]Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben:
Impact of energy efficiency on the morphology and behaviour of evolved robots. GECCO Companion 2021: 109-110 - [c167]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
Evo-RL: evolutionary-driven reinforcement learning. GECCO Companion 2021: 153-154 - [c166]Daan Klijn, A. E. Eiben:
A coevolutionary approach to deep multi-agent reinforcement learning. GECCO Companion 2021: 283-284 - [c165]Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben:
Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion 2021: 1753-1761 - [c164]Karine Miras, Jim Cuijpers, Bahadir Gülhan, A. E. Eiben:
The Impact of Early-death on Phenotypically Plastic Robots that Evolve in Changing Environments. ALIFE 2021: 25 - [c163]Babak Hosseinkhani Kargar, Karine Miras, A. E. Eiben:
The effect of selecting for different behavioral traits on the evolved gaits of modular robots. ALIFE 2021: 26 - [c162]Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben:
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. LOD 2021: 265-280 - [c161]Koen Van Der Pool, A. E. Eiben:
Moonwalkers: Evolving Robots for Locomotion in a Moon-like Environment. SSCI 2021: 1-8 - 2020
- [c160]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Understanding the Behavior of Reinforcement Learning Agents. BIOMA 2020: 148-160 - [c159]Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein:
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA 2020: 281-293 - [c158]Karine Miras, Matteo De Carlo, Sayfeddine Akhatou, A. E. Eiben:
Evolving-Controllers Versus Learning-Controllers for Morphologically Evolvable Robots. EvoApplications 2020: 86-99 - [c157]Matteo De Carlo, Eliseo Ferrante, A. E. Eiben:
Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots. GECCO Companion 2020: 73-74 - [c156]Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Ágoston E. Eiben:
Differential Evolution with Reversible Linear Transformations. GECCO Companion 2020: 205-206 - [c155]Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized bayesian optimization for problems with expensive evaluation functions. GECCO Companion 2020: 231-232 - [c154]A. E. Eiben, Emma Hart:
If it evolves it needs to learn. GECCO Companion 2020: 1383-1384 - [c153]A. E. Eiben:
Evolving robot software and hardware. SEAMS@ICSE 2020: 1-4 - [c152]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Matthew F. Hale, Mike Angus, Robert Woolley, Jon Timmis, Alan F. T. Winfield, Andrew M. Tyrrell:
Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. ALIFE 2020: 432-440 - [c151]Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen:
Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. LOD (1) 2020: 458-471 - [c150]Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein:
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) 2020: 243-256 - [c149]Alessandro Zonta, Selmar K. Smit, A. E. Eiben:
Towards a human-like movements generator based on environmental features. SSCI 2020: 413-420 - [c148]Fuda van Diggelen, Robert Babuska, A. E. Eiben:
The Effects of Adaptive Control on Learning Directed Locomotion. SSCI 2020: 2117-2124 - [c147]Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben:
Robotic task affects the resulting morphology and behaviour in evolutionary robotics. SSCI 2020: 2125-2131 - [c146]Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Wei Li, Matthew F. Hale, Mike Angus, Robert Woolley, Alan F. T. Winfield, Jon Timmis, Andy M. Tyrrell:
Evolution of Diverse, Manufacturable Robot Body Plans. SSCI 2020: 2132-2139 - [c145]Matthew F. Hale, Mike Angus, Edgar Buchanan, Wei Li, Robert Woolley, Léni K. Le Goff, Matteo De Carlo, Jon Timmis, Alan F. T. Winfield, Emma Hart, Ágoston E. Eiben, Andy M. Tyrrell:
Hardware Design for Autonomous Robot Evolution. SSCI 2020: 2140-2147 - [c144]Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben:
Influences of Artificial Speciation on Morphological Robot Evolution. SSCI 2020: 2272-2279 - 2019
- [c143]T. van de Velde, Claudio Rossi, A. E. Eiben:
Body Symmetry in Morphologically Evolving Modular Robots. EvoApplications 2019: 583-598 - [c142]Gongjin Lan, Jiunhan Chen, A. E. Eiben:
Evolutionary predator-prey robot systems: from simulation to real world. GECCO (Companion) 2019: 123-124 - [c141]Karine Miras, A. E. Eiben:
Effects of environmental conditions on evolved robot morphologies and behavior. GECCO 2019: 125-132 - [c140]Frank Veenstra, Emma Hart, Edgar Buchanan, Wei Li, Matteo De Carlo, Ágoston E. Eiben:
Comparing encodings for performance and phenotypic exploration in evolving modular robots. GECCO (Companion) 2019: 127-128 - [c139]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO 2019: 934-942 - [c138]Matthew F. Hale, Edgar Buchanan, Alan F. T. Winfield, Jon Timmis, Emma Hart, Ágoston E. Eiben, Mike Angus, Frank Veenstra, Wei Li, Robert Woolley, Matteo De Carlo, Andy M. Tyrrell:
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. ALIFE 2019: 95-102 - [c137]Alex Ellery, A. E. Eiben:
To Evolve or Not to Evolve? That is the Question. ALIFE 2019: 357-364 - [c136]Karine Miras, A. E. Eiben:
The impact of environmental history on evolved robot properties. ALIFE 2019: 396-403 - [c135]Gongjin Lan, Jiunhan Chen, A. E. Eiben:
Simulated and Real-World Evolution of Predator Robots. SSCI 2019: 1974-1981 - [c134]Alessandro Zonta, Selmar K. Smit, Mark Hoogendoorn, A. E. Eiben:
Generation of Human-Like Movements Based on Environmental Features. SSCI 2019: 3079-3086 - [c133]Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn van Otterlo, Vesa Muhonen:
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. WI 2019: 258-264 - [c132]Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben:
CluStream-GT: Online Clustering for Personalization in the Health Domain. WI 2019: 270-275 - 2018
- [c131]Elte Hupkes, Milan Jelisavcic, A. E. Eiben:
Revolve: A Versatile Simulator for Online Robot Evolution. EvoApplications 2018: 687-702 - [c130]Karine Miras, Evert Haasdijk, Kyrre Glette, A. E. Eiben:
Search Space Analysis of Evolvable Robot Morphologies. EvoApplications 2018: 703-718 - [c129]Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben:
Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV 2018: 1959-1965 - [c128]Karine Miras, Evert Haasdijk, Kyrre Glette, A. E. Eiben:
Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors. ALIFE 2018: 224-231 - [c127]Milan Jelisavcic, Diederik M. Roijers, A. E. Eiben:
Analysing the Relative Importance of Robot Brains and Bodies. ALIFE 2018: 327-334 - [c126]Gongjin Lan, Milan Jelisavcic, Diederik M. Roijers, Evert Haasdijk, A. E. Eiben:
Directed Locomotion for Modular Robots with Evolvable Morphologies. PPSN (1) 2018: 476-487 - [c125]Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben:
Benefits of Social Learning in Physical Robots. SSCI 2018: 851-858 - [c124]Milan Jelisavcic, Karine Miras, A. E. Eiben:
Morphological Attractors in Darwinian and Lamarckian Evolutionary Robot Systems. SSCI 2018: 859-866 - [c123]Karine Miras, Arwin Gansekoele, Kyrre Glette, A. E. Eiben:
Insights in evolutionary exploration of robot morphology spaces. SSCI 2018: 867-874 - [c122]Alessandro Zonta, Selmar K. Smit, Evert Haasdijk, A. E. Eiben:
Modelling Human Movements With Turing Learning. SSCI 2018: 2254-2261 - 2017
- [c121]Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk:
Can social learning increase learning speed, performance or both? ECAL 2017: 200-207 - [c120]Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben:
Analysis of Lamarckian evolution in morphologically evolving robots. ECAL 2017: 214-221 - [c119]Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben:
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. EvoCOP 2017: 141-156 - [c118]Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk:
Is social learning more than parameter tuning? GECCO (Companion) 2017: 63-64 - [c117]Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben:
Benefits of lamarckian evolution for morphologically evolving robots. GECCO (Companion) 2017: 65-66 - [c116]Milan Jelisavcic, Evert Haasdijk, A. E. Eiben:
Acquiring moving skills in robots with evolvable morphologies: recent results and outlook. GECCO (Companion) 2017: 1735-1741 - 2016
- [c115]Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben:
On-line Evolution of Foraging Behaviour in a Population of Real Robots. EvoApplications (2) 2016: 198-212 - [c114]Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - [c113]Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Gerhard Andersson, Heleen Riper, Jeroen Ruwaard, Kristofer Vernmark:
A feature representation learning method for temporal datasets. SSCI 2016: 1-8 - [c112]Milan Jelisavcic, Matteo De Carlo, Evert Haasdijk, A. E. Eiben:
Improving RL power for on-line evolution of gaits in modular robots. SSCI 2016: 1-8 - 2015
- [c111]Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking:
An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care. AIME 2015: 148-152 - [c110]Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben:
Evaluating Reward Definitions for Parameter Control. EvoApplications 2015: 667-680 - [c109]Jacqueline Heinerman, Dexter Drupsteen, A. E. Eiben:
Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning. GECCO 2015: 177-183 - [c108]Jacqueline Heinerman, Massimiliano Rango, A. E. Eiben:
Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots. SSCI 2015: 1055-1062 - [c107]A. E. Eiben:
EvoSphere: The World of Robot Evolution. TPNC 2015: 3-19 - 2014
- [c106]Evert Haasdijk, Nicolas Bredèche, A. E. Eiben:
Making MONEE. ALIFE 2014: 158-159 - [c105]Massimiliano D'Angelo, Berend Weel, A. E. Eiben:
HyperNEAT Versus RL PoWER for Online Gait Learning in Modular Robots. EvoApplications 2014: 777-788 - [c104]Arthur Ervin Avramiea, Giorgos Karafotias, A. E. Eiben:
Fate agent evolutionary algorithms with self-adaptive mutation. GECCO (Companion) 2014: 191-192 - [c103]Luís F. Simões, A. E. Eiben:
On the locality of neural meta-representations. GECCO (Companion) 2014: 199-200 - [c102]Giorgos Karafotias, Ágoston E. Eiben, Mark Hoogendoorn:
Generic parameter control with reinforcement learning. GECCO 2014: 1319-1326 - [c101]Berend Weel, Emanuele Crosato, Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben:
A robotic ecosystem with evolvable minds and bodies. ICES 2014: 165-172 - [c100]Ágoston E. Eiben:
In Vivo Veritas: Towards the Evolution of Things. PPSN 2014: 24-39 - [c99]Luís F. Simões, Dario Izzo, Evert Haasdijk, Ágoston E. Eiben:
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation. PPSN 2014: 110-119 - 2013
- [c98]Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben:
Why parameter control mechanisms should be benchmarked against random variation. IEEE Congress on Evolutionary Computation 2013: 349-355 - [c97]Eelco den Heijer, A. E. Eiben:
Maintaining population diversity in evolutionary art using structured populations. IEEE Congress on Evolutionary Computation 2013: 529-536 - [c96]Ágoston E. Eiben, Nicolas Bredèche, Mark Hoogendoorn, Jürgen Stradner, Jon Timmis, Andy M. Tyrrell, Alan F. T. Winfield:
The Triangle of Life. ECAL 2013: 1056-1063 - [c95]Nikita Noskov, Evert Haasdijk, Berend Weel, A. E. Eiben:
MONEE: Using Parental Investment to Combine Open-Ended and Task-Driven Evolution. EvoApplications 2013: 569-578 - [c94]Cristian M. Dinu, Plamen Dimitrov, Berend Weel, A. E. Eiben:
Self-adapting fitness evaluation times for on-line evolution of simulated robots. GECCO 2013: 191-198 - [c93]Evert Haasdijk, Berend Weel, A. E. Eiben:
Right on the MONEE: combining task- and environment-driven evolution. GECCO 2013: 207-214 - [c92]Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben:
Parameter control: strategy or luck? GECCO (Companion) 2013: 215-216 - [c91]Berend Weel, Evert Haasdijk, A. E. Eiben:
Body building: Hatching robot organisms. ICES 2013: 13-20 - [c90]Massimiliano D'Angelo, Berend Weel, A. E. Eiben:
Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes. TPNC 2013: 45-56 - 2012
- [c89]Eelco den Heijer, A. E. Eiben:
Evolving Pop Art Using Scalable Vector Graphics. EvoMUSART 2012: 48-59 - [c88]Pablo García-Sánchez, A. E. Eiben, Evert Haasdijk, Berend Weel, Juan Julián Merelo Guervós:
Testing Diversity-Enhancing Migration Policies for Hybrid On-Line Evolution of Robot Controllers. EvoApplications 2012: 52-62 - [c87]Eelco den Heijer, A. E. Eiben:
Maintaining Population Diversity in Evolutionary Art. EvoMUSART 2012: 60-71 - [c86]Berend Weel, Evert Haasdijk, A. E. Eiben:
The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution. EvoApplications 2012: 124-134 - [c85]Giorgos Karafotias, Selmar K. Smit, A. E. Eiben:
A Generic Approach to Parameter Control. EvoApplications 2012: 366-375 - [c84]Luis E. Pineda, A. E. Eiben, Marteen van Steen:
Evolving Communication in Robotic Swarms Using On-Line, On-Board, Distributed Evolutionary Algorithms. EvoApplications 2012: 529-538 - [c83]Jan Bím, Giorgos Karafotias, Selmar K. Smit, A. E. Eiben, Evert Haasdijk:
It's Fate: A Self-organising Evolutionary Algorithm. PPSN (2) 2012: 185-194 - [c82]Berend Weel, Mark Hoogendoorn, A. E. Eiben:
On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments. PPSN (2) 2012: 245-254 - 2011
- [c81]Robert-Jan Huijsman, Evert Haasdijk, A. E. Eiben:
An On-Line On-Board Distributed Algorithm for Evolutionary Robotics. Artificial Evolution 2011: 73-84 - [c80]Eelco den Heijer, A. E. Eiben:
Evolving Art Using Multiple Aesthetic Measures. EvoApplications (2) 2011: 234-243 - [c79]A. E. Eiben, N. Ferreira, Martijn C. Schut, Serge Kernbach:
Embodied artificial evolution: the future of artificial evolutionary systems. GECCO (Companion) 2011: 27-28 - [c78]Giorgos Karafotias, Evert Haasdijk, Ágoston E. Eiben:
An algorithm for distributed on-line, on-board evolutionary robotics. GECCO 2011: 171-178 - [c77]Evert Haasdijk, Arif Atta-ul-Qayyum, Ágoston E. Eiben:
Racing to improve on-line, on-board evolutionary robotics. GECCO 2011: 187-194 - [c76]Selmar K. Smit, Zoltán Szlávik, Ágoston E. Eiben:
Population diversity index: a new measure for population diversity. GECCO (Companion) 2011: 269-270 - [c75]Eelco den Heijer, Ágoston E. Eiben:
Evolving art with scalable vector graphics. GECCO 2011: 427-434 - [c74]Willem H. van Willigen, Martijn C. Schut, A. E. Eiben, Leon J. H. M. Kester:
Online Adaptation of Path Formation in UAV Search-and-Identify Missions. ICANNGA (2) 2011: 186-195 - 2010
- [c73]Vincent van der Goes, A. E. Eiben:
Evolution of a risk coefficient in artificial societies. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c72]Evert Haasdijk, A. E. Eiben, Giorgos Karafotias:
On-line evolution of robot controllers by an encapsulated evolution strategy. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c71]Eelco den Heijer, A. E. Eiben:
Using aesthetic measures to evolve art. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c70]Selmar K. Smit, A. E. Eiben:
Beating the 'world champion' evolutionary algorithm via REVAC tuning. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c69]Eelco den Heijer, A. E. Eiben:
Comparing Aesthetic Measures for Evolutionary Art. EvoApplications (2) 2010: 311-320 - [c68]Selmar K. Smit, A. E. Eiben:
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist. EvoApplications (1) 2010: 542-551 - [c67]Evert Haasdijk, Andrei A. Rusu, A. E. Eiben:
HyperNEAT for Locomotion Control in Modular Robots. ICES 2010: 169-180 - [c66]Selmar K. Smit, A. E. Eiben, Zoltán Szlávik:
An MOEA-based Method to Tune EA Parameters on Multiple Objective Functions. IJCCI (ICEC) 2010: 261-268 - [c65]A. E. Eiben, Giorgos Karafotias, Evert Haasdijk:
Self-Adaptive Mutation in On-line, On-board Evolutionary Robotics. SASO Workshops 2010: 147-152 - 2009
- [c64]Nicolas Bredèche, Evert Haasdijk, A. E. Eiben:
On-Line, On-Board Evolution of Robot Controllers. Artificial Evolution 2009: 110-121 - [c63]Selmar K. Smit, A. E. Eiben:
Comparing parameter tuning methods for evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 399-406 - [c62]Martijn C. Schut, Evert Haasdijk, A. E. Eiben:
What is situated evolution? IEEE Congress on Evolutionary Computation 2009: 3277-3284 - 2008
- [c61]Evert Haasdijk, Paul Vogt, A. E. Eiben:
Social learning in Population-based Adaptive Systems. IEEE Congress on Evolutionary Computation 2008: 1386-1392 - [c60]Robert Griffioen, Selmar K. Smit, A. E. Eiben:
Learning benefits evolution if sex gives pleasure. IEEE Congress on Evolutionary Computation 2008: 2073-2080 - [c59]Juan Luis Jiménez Laredo, A. E. Eiben, Maarten van Steen, Pedro A. Castillo, Antonio Miguel Mora, Juan Julián Merelo Guervós:
P2P Evolutionary Algorithms: A Suitable Approach for Tackling Large Instances in Hard Optimization Problems. Euro-Par 2008: 622-631 - [c58]A. E. Eiben:
Evolutionary Reproduction of Dutch Masters: The Mondriaan and Escher Evolvers. The Art of Artificial Evolution 2008: 211-224 - [c57]Juan Luis Jiménez Laredo, Ágoston E. Eiben, Maarten van Steen, Juan Julián Merelo Guervós:
On the Run-Time Dynamics of a Peer-to-Peer Evolutionary Algorithm. PPSN 2008: 236-245 - [c56]Volker Nannen, Selmar K. Smit, Ágoston E. Eiben:
Costs and Benefits of Tuning Parameters of Evolutionary Algorithms. PPSN 2008: 528-538 - [c55]Péter Vajda, Ágoston E. Eiben, Wiebe Hordijk:
Parameter Control Methods for Selection Operators in Genetic Algorithms. PPSN 2008: 620-630 - 2007
- [c54]W. A. de Landgraaf, A. E. Eiben, Volker Nannen:
Parameter calibration using meta-algorithms. IEEE Congress on Evolutionary Computation 2007: 71-78 - [c53]Volker Nannen, A. E. Eiben:
Efficient relevance estimation and value calibration of evolutionary algorithm parameters. IEEE Congress on Evolutionary Computation 2007: 103-110 - [c52]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Emergent specialization in the extended multi-rover problem. IEEE Congress on Evolutionary Computation 2007: 3410-3417 - [c51]Gusz Eiben, Joeri Bekker, Robert Griffioen, Evert Haasdijk:
Balancing quality and quantity in evolving agent systems. GECCO 2007: 335 - [c50]Geoff Nitschke, Martijn C. Schut, A. E. Eiben:
Collective specialization in multi-rover systems. GECCO 2007: 342 - [c49]Volker Nannen, A. E. Eiben:
Variance reduction in meta-EDA. GECCO 2007: 627 - [c48]W. R. M. U. K. Wickramasinghe, Maarten van Steen, A. E. Eiben:
Peer-to-peer evolutionary algorithms with adaptive autonomous selection. GECCO 2007: 1460-1467 - [c47]A. E. Eiben, Marc Schoenauer, D. W. F. van Krevelen, M. C. Hobbelman, M. A. ten Hagen, R. C. van het Schip:
Autonomous selection in evolutionary algorithms. GECCO 2007: 1506 - [c46]A. E. Eiben, Marc Schoenauer, Juan Luis Jiménez Laredo, Pedro Ángel Castillo Valdivieso, Antonio Miguel Mora, Juan Julián Merelo Guervós:
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm. GECCO (Companion) 2007: 2801-2808 - [c45]Ágoston E. Eiben, Geoff S. Nitschke, Martijn C. Schut:
Evolutionary Design of Specialization. ALIFE 2007: 417-424 - [c44]Volker Nannen, A. E. Eiben:
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters. IJCAI 2007: 975-980 - 2006
- [c43]A. E. Eiben, Martijn C. Schut, A. R. de Wilde:
Boosting Genetic Algorithms with Self-Adaptive Selection. IEEE Congress on Evolutionary Computation 2006: 477-482 - [c42]A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Martijn C. Schut:
Reinforcement Learning for Online Control of Evolutionary Algorithms. ESOA 2006: 151-160 - [c41]Volker Nannen, A. E. Eiben:
A method for parameter calibration and relevance estimation in evolutionary algorithms. GECCO 2006: 183-190 - [c40]A. E. Eiben, Martijn C. Schut, A. R. de Wilde:
Is Self-adaptation of Selection Pressure and Population Size Possible? - A Case Study. PPSN 2006: 900-909 - [c39]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Collective Specialization for Evolutionary Design of a Multi-robot System. Swarm Robotics 2006: 189-205 - 2005
- [c38]A. E. Eiben:
Evolutionary Computing and Autonomic Computing: Shared Problems, Shared Solutions?. Self-star Properties in Complex Information Systems 2005: 36-48 - [c37]Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Effects of Evolutionary and Lifetime Learning on Minds and Bodies in an Artifical Society. BNAIC 2005: 325-326 - [c36]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Evolving an agent collective for cooperative mine sweeping. Congress on Evolutionary Computation 2005: 831-836 - [c35]Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Effects of evolutionary and lifetime learning on minds and bodies in an artifical society. Congress on Evolutionary Computation 2005: 1448-1454 - [c34]Bart G. W. Craenen, A. E. Eiben:
Hybrid evolutionary algorithms for constraint satisfaction problems: memetic overkill? Congress on Evolutionary Computation 2005: 1922-1928 - [c33]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Comparative Reproduction Schemes for Evolving Gathering Collectives. ECAL 2005: 795-804 - [c32]A. E. Eiben, Martijn C. Schut, T. Toma:
Comparing multicast and newscast communication in evolving agent societies. GECCO 2005: 75-81 - 2004
- [c31]P. C. Buzing, A. E. Eiben, Martijn C. Schut, T. Toma:
Cooperation and communication in evolving artificial societies. IEEE Congress on Evolutionary Computation 2004: 2030-2037 - [c30]A. E. Eiben, Elena Marchiori, V. A. Valkó:
Evolutionary Algorithms with On-the-Fly Population Size Adjustment. PPSN 2004: 41-50 - 2003
- [c29]P. C. Buzing, A. E. Eiben, Martijn C. Schut:
Evolving Agent Societies with VUShape. ECAL 2003: 434-441 - 2002
- [c28]Ágoston E. Eiben, Márk Jelasity:
A critical note on experimental research methodology in EC. IEEE Congress on Evolutionary Computation 2002: 582-587 - [c27]Bart G. W. Craenen, Ágoston E. Eiben:
An experimental comparison of SAWing EAs for a new class of random binary CSPs. IEEE Congress on Evolutionary Computation 2002: 878-883 - [c26]Thomas Bäck, Daniel Vermeulen, A. E. Eiben:
Effects of Tax and Evolution in an Artificial Society. JCIS 2002: 1151-1156 - [c25]Márk Jelasity, Mike Preuß, A. E. Eiben:
Operator Learning for a Problem Class in a Distributed Peer-to-Peer Environment. PPSN 2002: 172-183 - [c24]Maribel García Arenas, Pierre Collet, A. E. Eiben, Márk Jelasity, Juan Julián Merelo Guervós, Ben Paechter, Mike Preuß, Marc Schoenauer:
A Framework for Distributed Evolutionary Algorithms. PPSN 2002: 665-675 - 2000
- [c23]Ben Paechter, Thomas Bäck, Marc Schoenauer, Michèle Sebag, Ágoston E. Eiben, Juan Julián Merelo, Terence C. Fogarty:
A Distributed Resource Evolutionary Algorithm Machine (DREAM). CEC 2000: 951-958 - [c22]Bart G. W. Craenen, A. E. Eiben, Elena Marchiori:
Solving constraint satisfaction problems with heuristic-based evolutionary algorithms. CEC 2000: 1571-1577 - [c21]A. E. Eiben, B. Jansen, Zbigniew Michalewicz, Ben Paechter:
Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating. GECCO 2000: 128-134 - [c20]Bart G. W. Craenen, A. E. Eiben, Elena Marchiori, Adri G. Steenbeek:
Combining Local Search and Fitness Function Adaptation in a GA for Solving Binary Constraint Satisfaction Problems. GECCO 2000: 381 - [c19]Thomas Bäck, A. E. Eiben, Nikolai A. L. van der Vaart:
An Empirical Study on GAs "Without Parameters". PPSN 2000: 315-324 - 1999
- [c18]Ida G. Sprinkhuizen-Kuyper, C. A. Schippers, A. E. Eiben:
On the real arity of multiparent recombination. CEC 1999: 680-686 - [c17]Thomas Bäck, Ágoston E. Eiben:
Generalizations of intermediate recombination in evolution strategies. CEC 1999: 1566-1573 - [c16]Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
Adapting the Fitness Function in GP for Data Mining. EuroGP 1999: 193-202 - [c15]A. E. Eiben, Donatello Elia, Jano I. van Hemert:
Population dynamics and emerging mental features in AEGIS. GECCO 1999: 1257-1264 - [c14]Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert:
A Comparison of Genetic Programming Variants for Data Classification. IDA 1999: 281-290 - 1998
- [c13]Thomas Bäck, A. E. Eiben, Marco E. Vink:
A Superior Evolutionary Algorithm for 3-SAT. Evolutionary Programming 1998: 125-136 - [c12]A. E. Eiben, A. E. Koudijs, Frank Slisser:
Genetic Modelling of Customer Retention. EuroGP 1998: 178-186 - [c11]A. E. Eiben, Jano I. van Hemert, Elena Marchiori, Adri G. Steenbeek:
Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function. PPSN 1998: 201-210 - 1997
- [c10]A. E. Eiben, J. K. van der Hauw:
Adaptive Penalties for Evolutionary Graph Coloring. Artificial Evolution 1997: 95-108 - 1996
- [c9]A. E. Eiben, Zsófia Ruttkay:
Self-Adaptivity for Constraint Satisfaction: Learning Penalty Functions. International Conference on Evolutionary Computation 1996: 258-261 - [c8]A. E. Eiben:
Evolutionary Exploration of Search Spaces. ISMIS 1996: 178-188 - [c7]A. E. Eiben, C. A. Schippers:
Multi-Parent's Niche: n-ary Crossovers on NK-Landscapes. PPSN 1996: 319-328 - 1995
- [c6]A. E. Eiben, Paul-Erik Raué, Zsófia Ruttkay:
GA-easy and GA-hard Constraint Satisfaction Problems. Constraint Processing, Selected Papers 1995: 267-283 - [c5]A. E. Eiben, Cees H. M. van Kemenade, Joost N. Kok:
Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms. ECAL 1995: 934-945 - 1994
- [c4]A. E. Eiben, Paul-Erik Raué, Zsófia Ruttkay:
Solving Constraint Satisfaction Problems Using Genetic Algorithms. International Conference on Evolutionary Computation 1994: 542-547 - [c3]A. E. Eiben, Paul-Erik Raué, Zsófia Ruttkay:
Genetic algorithms with multi-parent recombination. PPSN 1994: 78-87 - 1990
- [c2]A. E. Eiben, Emile H. L. Aarts, Kees M. van Hee:
Global Convergence of Genetic Algorithms: A Markov Chain Analysis. PPSN 1990: 4-12 - 1989
- [c1]A. E. Eiben:
Modeling Planning Problems. MFDBS 1989: 172-186
Parts in Books or Collections
- 2012
- [p5]A. E. Eiben, Selmar K. Smit:
Evolutionary Algorithm Parameters and Methods to Tune Them. Autonomous Search 2012: 15-36 - [p4]Ágoston E. Eiben, James E. Smith:
Evolutionary Algorithms. Handbook of Memetic Algorithms 2012: 9-27 - 2010
- [p3]Selmar K. Smit, Ágoston E. Eiben:
Using Entropy for Parameter Analysis of Evolutionary Algorithms. Experimental Methods for the Analysis of Optimization Algorithms 2010: 287-310 - 2008
- [p2]Gusz Eiben, Martijn C. Schut:
New Ways to Calibrate Evolutionary Algorithms. Advances in Metaheuristics for Hard Optimization 2008: 153-177 - 2007
- [p1]A. E. Eiben, Zbigniew Michalewicz, Marc Schoenauer, James E. Smith:
Parameter Control in Evolutionary Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 19-46
Editorship
- 1999
- [e3]Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant G. Honavar, Mark J. Jakiela, Robert E. Smith:
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA. Morgan Kaufmann 1999, ISBN 1-55860-611-4 [contents] - 1998
- [e2]V. William Porto, N. Saravanan, Donald E. Waagen, A. E. Eiben:
Evolutionary Programming VII, 7th International Conference, EP98, San Diego, CA, USA, March 25-27, 1998, Proceedings. Lecture Notes in Computer Science 1447, Springer 1998, ISBN 3-540-64891-7 [contents] - [e1]A. E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN V, 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings. Lecture Notes in Computer Science 1498, Springer 1998, ISBN 3-540-65078-4 [contents]
Informal and Other Publications
- 2024
- [i32]Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben:
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms. CoRR abs/2402.04763 (2024) - [i31]Jie Luo, Karine Miras, Carlo Longhi, Oliver Weissl, Ágoston E. Eiben:
Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments. CoRR abs/2403.19545 (2024) - 2023
- [i30]Jie Luo, Carlo Longhi, Ágoston E. Eiben:
A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots. CoRR abs/2303.12594 (2023) - [i29]Jie Luo, Karine Miras, Jakub M. Tomczak, Ágoston E. Eiben:
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better. CoRR abs/2309.13099 (2023) - [i28]Jie Luo, Jakub M. Tomczak, Karine Miras, Ágoston E. Eiben:
A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies. CoRR abs/2309.13908 (2023) - 2022
- [i27]Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben:
Comparing lifetime learning methods for morphologically evolving robots. CoRR abs/2203.03967 (2022) - [i26]Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben:
Collective motion emerging from evolving swarm controllers in different environments using gradient following task. CoRR abs/2203.11585 (2022) - 2021
- [i25]Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben:
pH-RL: A personalization architecture to bring reinforcement learning to health practice. CoRR abs/2103.15908 (2021) - [i24]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho-evolution with learning using a controller archive as an inheritance mechanism. CoRR abs/2104.04269 (2021) - [i23]Daan Klijn, A. E. Eiben:
A coevolutionary approach to deep multi-agent reinforcement learning. CoRR abs/2104.05610 (2021) - [i22]Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben:
Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR abs/2105.07960 (2021) - [i21]Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben:
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. CoRR abs/2107.05249 (2021) - [i20]Jie Luo, Jakub M. Tomczak, Ágoston E. Eiben:
The Effects of Learning in Morphologically Evolving Robot Systems. CoRR abs/2107.08249 (2021) - [i19]Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben Meynen, A. E. Eiben:
Heritability in Morphological Robot Evolution. CoRR abs/2110.11187 (2021) - [i18]Jie Luo, Aart C. Stuurman, Jakub M. Tomczak, Jacintha Ellers, Ágoston E. Eiben:
The Effects of Learning in Morphologically Evolving Robot Systems. CoRR abs/2111.09851 (2021) - 2020
- [i17]Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies. CoRR abs/2001.07804 (2020) - [i16]Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Ágoston E. Eiben:
Differential Evolution with Reversible Linear Transformations. CoRR abs/2002.02869 (2020) - [i15]Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben:
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm. CoRR abs/2005.04166 (2020) - [i14]Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro:
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR abs/2005.06223 (2020) - [i13]Karine Miras, Eliseo Ferrante, A. E. Eiben:
Environmental regulation using Plasticoding for the evolution of robots. CoRR abs/2006.00025 (2020) - [i12]Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid:
EVO-RL: Evolutionary-Driven Reinforcement Learning. CoRR abs/2007.04725 (2020) - [i11]Ewelina Weglarz-Tomczak, Jakub M. Tomczak, Ágoston E. Eiben, Stanley Brul:
Population-based Optimization for Kinetic Parameter Identification in Glycolytic Pathway in Saccharomyces cerevisiae. CoRR abs/2010.06456 (2020) - [i10]Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben:
Learning Locomotion Skills in Evolvable Robots. CoRR abs/2010.09531 (2020) - [i9]Alessandro Zonta, Selmar K. Smit, A. E. Eiben:
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features. CoRR abs/2012.06474 (2020) - 2019
- [i8]David Howard, Ágoston E. Eiben, Danielle Frances Kennedy, Jean-Baptiste Mouret, Philip Valencia, David A. Winkler:
Evolving embodied intelligence from materials to machines. CoRR abs/1901.05704 (2019) - [i7]Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben:
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR abs/1907.09300 (2019) - [i6]Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas:
EvoMan: Game-playing Competition. CoRR abs/1912.10445 (2019) - 2018
- [i5]Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein:
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR abs/1808.08818 (2018) - 2017
- [i4]Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben:
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. CoRR abs/1704.00702 (2017) - 2011
- [i3]A. E. Eiben, N. Ferreira, Martijn C. Schut, Serge Kernbach:
Evolution of Things. CoRR abs/1106.0190 (2011) - 2007
- [i2]Juan Luis Jiménez Laredo, A. E. Eiben, Marc Schoenauer, Pedro A. Castillo, Antonio Miguel Mora, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Self-adaptive Gossip Policies for Distributed Population-based Algorithms. CoRR abs/cs/0703117 (2007) - 2005
- [i1]A. E. Eiben, Marc Schoenauer:
Evolutionary Computing. CoRR abs/cs/0511004 (2005)
Coauthor Index
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