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Benjamin Doerr

Benjamin Doerr

D-Index & Metrics

Computer Science

D-Index
58
Citations
11201
World Ranking
3688
National Ranking
66

Overview

Benjamin Doerr is affiliated with École Polytechnique in France and has contributed extensively to the field of computer science, particularly in the study of evolutionary algorithms and optimization methods. Their work spans numerous subfields, with a strong focus on artificial intelligence and computational theory.

The main fields of study for Benjamin Doerr include:

  • Computer Science

Within this broad domain, their research concentrates on the following subfields:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Management Science and Operations Research

The primary topics addressed in Benjamin Doerr's research are:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Control Systems Optimization
  • Machine Learning and Algorithms
  • Data Stream Mining Techniques
  • Gene Regulatory Network Analysis

Recent papers authored or coauthored by Benjamin Doerr include the following:

  • A First Runtime Analysis of the NSGA-II on a Multimodal Problem, 2023, IEEE Transactions on Evolutionary Computation
  • Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms, 2020, IEEE Transactions on Evolutionary Computation
  • Does Comma Selection Help to Cope with Local Optima?, 2022, Algorithmica

Benjamin Doerr has collaborated frequently with several researchers, including:

  • Weijie Zheng
  • Martin S. Krejca
  • Denis Antipov
  • Maxim Buzdalov
  • Quentin Renau

The research output by Benjamin Doerr has appeared in various publication venues, emphasizing venues with repeated contributions:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Algorithmica
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Why rumors spread so quickly in social networks

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Theory of Randomized Search Heuristics: Foundations and Recent Developments

    Anne Auger;Benjamin Doerr

  • Multiplicative Drift Analysis

    Benjamin Doerr;Daniel Johannsen;Carola Winzen

  • Fast genetic algorithms

    Benjamin Doerr;Huu Phuoc Le;Régis Makhmara;Ta Duy Nguyen

  • Crossover can provably be useful in evolutionary computation

    Benjamin Doerr;Edda Happ;Christian Klein

  • From black-box complexity to designing new genetic algorithms

    Benjamin Doerr;Carola Doerr;Franziska Ebel

  • Optimal parameter choices via precise black-box analysis

    Benjamin Doerr;Carola Doerr;Jing Yang

  • Probabilistic Tools for the Analysis of Randomized Optimization Heuristics.

    Benjamin Doerr

  • Optimal fixed and adaptive mutation rates for the leadingones problem

    Süntje Böttcher;Benjamin Doerr;Frank Neumann

  • Optimal Static and Self-Adjusting Parameter Choices for the $$(1+(\lambda ,\lambda ))$$ Genetic Algorithm

    Benjamin Doerr;Carola Doerr

  • Social Networks Spread Rumors in Sublogarithmic Time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Social networks spread rumors in sublogarithmic time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Theory of Evolutionary Computation: Recent Developments in Discrete Optimization

    Unknown

  • Adaptive Drift Analysis

    Benjamin Doerr;Leslie Ann Goldberg

  • Theory of evolutionary computation : recent developments in discrete optimization

    Benjamin Doerr;Frank Neumann

  • Stabilizing consensus with the power of two choices

    Benjamin Doerr;Leslie Ann Goldberg;Lorenz Minder;Thomas Sauerwald

  • Analyzing randomized search heuristics via stochastic domination

    Benjamin Doerr

  • Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices

    Benjamin Doerr;Carola Doerr

  • Analyzing Randomized Search Heuristics: Tools from Probability Theory.

    Benjamin Doerr

  • Quasirandom rumor spreading

    Benjamin Doerr;Tobias Friedrich;Thomas Sauerwald

  • Quasirandom Rumor Spreading: Expanders, Push vs. Pull, and Robustness

    Benjamin Doerr;Tobias Friedrich;Thomas Sauerwald

Frequent Co-Authors

Tobias Friedrich
Tobias Friedrich Hasso Plattner Institute
Frank Neumann
Frank Neumann University of Adelaide
Carsten Witt
Carsten Witt Technical University of Denmark
Joel Spencer
Joel Spencer Courant Institute of Mathematical Sciences
Dirk Sudholt
Dirk Sudholt University of Sheffield
Leslie Ann Goldberg
Leslie Ann Goldberg University of Oxford
Thomas Jansen
Thomas Jansen Aberystwyth University
Kurt Mehlhorn
Kurt Mehlhorn Max Planck Institute for Informatics
Gábor Tardos
Gábor Tardos Alfréd Rényi Institute of Mathematics
Christian Klein
Christian Klein Roche (Switzerland)

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