World's Best Scientists 2026 revealed!

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Computer Science

D-Index
45
Citations
6762
World Ranking
7303
National Ranking
27

Overview

Carsten Witt is affiliated with the Technical University of Denmark in Denmark and specializes in the field of Computer Science. Their research work predominantly focuses on Artificial Intelligence and Computational Theory and Mathematics, with additional involvement in Computer Networks and Communications, Control and Systems Engineering, and Management Science and Operations Research.

The scientist's contributions primarily cover topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Advanced Multi-Objective Optimization Algorithms, Advanced Control Systems Optimization, Optimization and Search Problems, Reinforcement Learning in Robotics, and Advanced Optimization Algorithms Research.

Carsten Witt has contributed to several recent papers including:

  • Self-Adjusting Evolutionary Algorithms for Multimodal Optimization (2022) published in Algorithmica
  • Runtime Analysis for Self-adaptive Mutation Rates (2020) published in Algorithmica
  • Stagnation detection in highly multimodal fitness landscapes (2021) published in Proceedings of the Genetic and Evolutionary Computation Conference
  • The Complex Parameter Landscape of the Compact Genetic Algorithm (2020) published in Algorithmica
  • How majority-vote crossover and estimation-of-distribution algorithms cope with fitness valleys (2022) published in Theoretical Computer Science

The scientist's frequent co-authors include:

  • Frank Neumann (17 publications)
  • Amirhossein Rajabi (9 publications)
  • Sumit Adak (6 publications)
  • Dirk Sudholt (5 publications)
  • Pietro S. Oliveto (3 publications)

The researcher has published extensively in venues such as:

  • arXiv (Cornell University) with 14 publications
  • Algorithmica with 10 publications
  • Proceedings of the Genetic and Evolutionary Computation Conference with 7 publications
  • Evolutionary Computation with 3 publications
  • Theoretical Computer Science with 1 publication

Best Publications

  • Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity

    Frank Neumann;Carsten Witt

  • Black-Box Search by Unbiased Variation

    Per Kristian Lehre;Carsten Witt

  • Runtime Analysis of the ( μ +1) EA on Simple Pseudo-Boolean Functions

    Carsten Witt

  • Runtime Analysis of a Simple Ant Colony Optimization Algorithm

    Frank Neumann;Carsten Witt

  • Bioinspired Computation in Combinatorial Optimization

    Frank Neumann;Carsten Witt

  • Tight Bounds on the Optimization Time of a Randomized Search Heuristic on Linear Functions

    Carsten Witt

  • Simplified Drift Analysis for Proving Lower Bounds in Evolutionary Computation

    Pietro S. Oliveto;Carsten Witt

  • Worst-case and average-case approximations by simple randomized search heuristics

    Carsten Witt

  • Approximating covering problems by randomized search heuristics using multi-objective models*

    Tobias Friedrich;Jun He;Nils Hebbinghaus;Frank Neumann

  • Improved time complexity analysis of the Simple Genetic Algorithm

    Pietro S. Oliveto;Carsten Witt

  • Analysis of diversity-preserving mechanisms for global exploration*

    Tobias Friedrich;Pietro S. Oliveto;Dirk Sudholt;Carsten Witt

  • Ant Colony Optimization and the Minimum Spanning Tree Problem

    Frank Neumann;Carsten Witt

  • Theory of Randomized Search Heuristics

    Anne Auger;Carsten Witt

  • On the Optimization of Monotone Polynomials by Simple Randomized Search Heuristics

    Ingo Wegener;Carsten Witt

  • Population size versus runtime of a simple evolutionary algorithm

    Carsten Witt

  • Part E: Evolutionary Computation

    Frank Neumann;Carsten Witt;Peter Merz;Carlos A. Coello Coello

  • Analysis of different MMAS ACO algorithms on unimodal functions and plateaus

    Frank Neumann;Dirk Sudholt;Carsten Witt

  • Runtime Analysis for Self-adaptive Mutation Rates

    Benjamin Doerr;Carsten Witt;Jing Yang

  • Theoretical analysis of fitness-proportional selection: landscapes and efficiency

    Frank Neumann;Pietro Simone Oliveto;Carsten Witt

  • Approximating covering problems by randomized search heuristics using multi-objective models

    Tobias Friedrich;Nils Hebbinghaus;Frank Neumann;Jun He

  • The (1+λ) evolutionary algorithm with self-adjusting mutation rate

    Benjamin Doerr;Christian Gießen;Carsten Witt;Jing Yang

Frequent Co-Authors

Frank Neumann
Frank Neumann University of Adelaide
Dirk Sudholt
Dirk Sudholt University of Sheffield
Benjamin Doerr
Benjamin Doerr École Polytechnique
Tobias Friedrich
Tobias Friedrich Hasso Plattner Institute
Per Kristian Lehre
Per Kristian Lehre University of Birmingham
Anne Auger
Anne Auger École Polytechnique
Thomas Jansen
Thomas Jansen Aberystwyth University
Christian Igel
Christian Igel University of Copenhagen
L. Darrell Whitley
L. Darrell Whitley Colorado State University

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