World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
28830
World Ranking
3325
National Ranking
34

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

A. E. Eiben is affiliated with Vrije Universiteit Amsterdam in the Netherlands. Their research contributions primarily span the fields of Computer Science and Engineering, with significant work within several subfields such as Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering, and Biomedical Engineering.

The scientist's publication record includes over a hundred works in Computer Science, notably focused on areas like Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications, and Modular Robots and Swarm Intelligence. Other prominent topics in their research include Robot Manipulation and Learning, Robotic Locomotion and Control, Metaheuristic Optimization Algorithms Research, and Advanced Multi-Objective Optimization Algorithms.

Frequent collaborators include Matteo De Carlo, Eliseo Ferrante, Jakub M. Tomczak, Karine Miras, and Fuda van Diggelen, with collaboration counts ranging from eight to seventeen publications each.

Frequently publishing venues for their work are:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Frontiers in Robotics and AI
  • IEEE Transactions on Cognitive and Developmental Systems
  • IEEE Transactions on Evolutionary Computation

Recent papers authored or co-authored by A. E. Eiben cover a variety of relevant topics and include:

  • "A new taxonomy of global optimization algorithms", 2020, Natural Computing
  • "Time efficiency in optimization with a bayesian-Evolutionary algorithm", 2021, Swarm and Evolutionary Computation
  • "Environmental influences on evolvable robots", 2020, PLoS ONE
  • "Learning directed locomotion in modular robots with evolvable morphologies", 2021, Applied Soft Computing
  • "Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism", 2022, IEEE Transactions on Cognitive and Developmental Systems

Best Publications

  • Introduction to evolutionary computing

    Agoston E. Eiben;J. E. Smith

  • Parameter control in evolutionary algorithms

    A.E. Eiben;R. Hinterding;Z. Michalewicz

  • Evolutionary robotics

    Evert Haasdijk;Nicolas Bredeche;Stefano Nolfi;A. E. Eiben

  • Parameter tuning for configuring and analyzing evolutionary algorithms

    A. E. Eiben;Selmar K. Smit

  • Genetic algorithms with multi-parent recombination

    A. E. Eiben;Paul-Erik Raué;Zsófia Ruttkay

  • Parallel Problem Solving from Nature — PPSN V

    Agoston E. Eiben;Thomas Bäck;Marc Schoenauer;Hans-Paul Schwefel

  • Optimized flocking of autonomous drones in confined environments.

    Gábor Vásárhelyi;Gábor Vásárhelyi;Csaba Virágh;Gergő Somorjai;Gergő Somorjai;Tamás Nepusz

  • From evolutionary computation to the evolution of things

    Ágoston E. Eiben;James E. Smith

  • Parameter Control in Evolutionary Algorithms: Trends and Challenges

    Giorgos Karafotias;Mark Hoogendoorn;A. E. Eiben

  • Parameter Control in Evolutionary Algorithms

    A. E. Eiben;Zbigniew Michalewicz;Marc Schoenauer;James E. Smith

  • Global Convergence of Genetic Algorithms: A Markov Chain Analysis

    A. E. Eiben;Emile H. L. Aarts;Emile H. L. Aarts;Kees M. van Hee

  • On evolutionary exploration and exploitation

    A. E. Eiben;C. A. Schippers

  • Adaptation in evolutionary computation: a survey

    R. Hinterding;Z. Michalewicz;A.E. Eiben

  • Comparing parameter tuning methods for evolutionary algorithms

    S.K. Smit;A.E. Eiben

  • Evolutionary Robotics: What, Why, and Where to

    Stephane Doncieux;Stephane Doncieux;Nicolas Bredeche;Nicolas Bredeche;Jean-Baptiste Mouret;Jean-Baptiste Mouret;Agoston E. Eiben

  • Efficient relevance estimation and value calibration of evolutionary algorithm parameters

    V. Nannen;A.E. Eiben

  • Graph Coloring with Adaptive Evolutionary Algorithms

    A. E. Eiben;J. K. Van Der Hauw;J. I. Van Hemert

  • Evolutionary algorithms with on-the-fly population size adjustment

    A. E. Eiben;Elena Marchiori;V. A. Valko

  • Relevance estimation and value calibration of evolutionary algorithm parameters

    Volker Nannen;A. E. Eiben

  • A multi-sexual genetic algorithm for multiobjective optimization

    J. Lis;A.E. Eiben

  • Genetic algorithms + data structures = evolution programs

    A.E. Eiben

  • Data from: Optimized flocking of autonomous drones in confined environments

    Gábor Vásárhelyi;Csaba Virágh;Gergő Somorjai;Tamás Nepusz

Frequent Co-Authors

Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Thomas Bäck
Thomas Bäck Leiden University
Elena Marchiori
Elena Marchiori Radboud University
Alan F. T. Winfield
Alan F. T. Winfield University of the West of England
Jon Timmis
Jon Timmis University of Sunderland
Andy M. Tyrrell
Andy M. Tyrrell University of York
David A. Winkler
David A. Winkler La Trobe University
Zbigniew Michalewicz
Zbigniew Michalewicz University of Adelaide
Joost N. Kok
Joost N. Kok University of Twente
Mengjie Zhang
Mengjie Zhang Victoria University of Wellington

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