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Nikolaus Hansen

Nikolaus Hansen

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
30288
World Ranking
3984
National Ranking
72

Overview

Nikolaus Hansen is affiliated with École Polytechnique in France and is active in the field of computer science, particularly in artificial intelligence and computational theory. Their research encompasses multiple subfields including mathematical physics, numerical analysis, and computational mechanics. Hansen's work focuses on topics such as metaheuristic optimization algorithms research, advanced multi-objective optimization algorithms, evolutionary algorithms and applications, analytic and geometric function theory, numerical methods in inverse problems, optimization and variational analysis, and advanced optimization algorithms research.

Recent publications by Nikolaus Hansen include:

  • Anytime Performance Assessment in Blackbox Optimization Benchmarking, 2022, published in IEEE Transactions on Evolutionary Computation
  • CMA-ES/pycma: r3.1.0, 2021, published in Zenodo (CERN European Organization for Nuclear Research)

Aside from works where Hansen is the primary author, related research in the domain includes these papers:

  • Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond, 2020, Applied Soft Computing
  • Augmented lagrangian, penalty techniques and surrogate modeling for constrained optimization with CMA-ES, 2021, Proceedings of the Genetic and Evolutionary Computation Conference
  • An ODE method to prove the geometric convergence of adaptive stochastic algorithms, 2021, Stochastic Processes and their Applications

Hansen frequently collaborates with a group of coauthors, including Dimo Brockhoff, Anne Auger, Armand Gissler, and Cheikh Touré. Their collaborative activity is reflected in multiple joint publications and contributions to the field of evolutionary computation.

Typical venues for Hansen's publications include:

  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • Applied Soft Computing

Best Publications

  • Completely Derandomized Self-Adaptation in Evolution Strategies

    Nikolaus Hansen;Andreas Ostermeier

  • Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)

    Nikolaus Hansen;Sibylle D. Müller;Petros Koumoutsakos

  • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

    P. N. Suganthan;N. Hansen;J. J. Liang;K. Deb

  • The CMA Evolution Strategy: A Comparing Review

    Nikolaus Hansen

  • Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation

    N. Hansen;A. Ostermeier

  • USPEX—Evolutionary crystal structure prediction

    Colin W. Glass;Artem R. Oganov;Artem R. Oganov;Nikolaus Hansen

  • A restart CMA evolution strategy with increasing population size

    A. Auger;N. Hansen

  • Evaluating the CMA evolution strategy on multimodal test functions

    Nikolaus Hansen;Stefan Kern

  • The CMA Evolution Strategy: A Tutorial

    Nikolaus Hansen

  • Covariance Matrix Adaptation for Multi-objective Optimization

    Christian Igel;Nikolaus Hansen;Stefan Roth

  • Markov chain analysis of cumulative step-size adaptation on a linear constrained problem

    Alexandre Chotard;Anne Auger;Nikolaus Hansen

  • Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup

    Nikolaus Hansen;Anne Auger;Raymond Ros

  • Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions

    Nikolaus Hansen;Raymond Ros;Anne Auger

  • Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009

    Nikolaus Hansen;Anne Auger;Raymond Ros;Steffen Finck

  • COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

    Nikolaus Hansen;Anne Auger;Olaf Mersmann;Tea Tusar

  • A Method for Handling Uncertainty in Evolutionary Optimization With an Application to Feedback Control of Combustion

    N. Hansen;A.S.P. Niederberger;L. Guzzella;P. Koumoutsakos

  • Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed

    Nikolaus Hansen

  • Performance evaluation of an advanced local search evolutionary algorithm

    A. Auger;N. Hansen

  • Learning Probability Distributions in Continuous Evolutionary Algorithms - a Comparative Review

    Stefan Kern;Sibylle D. Müller;Nikolaus Hansen;Dirk Büche

  • Evolution Strategies

    Unknown

  • A derandomized approach to self-adaptation of evolution strategies

    Andreas Ostermeier;Andreas Gawelczyk;Nikolaus Hansen

  • COCO: a platform for comparing continuous optimizers in a black-box setting

    Nikolaus Hansen;Anne Auger;Raymond Ros;Olaf Mersmann

Frequent Co-Authors

Anne Auger
Anne Auger École Polytechnique
Dimo Brockhoff
Dimo Brockhoff French Institute for Research in Computer Science and Automation - INRIA
Petros Koumoutsakos
Petros Koumoutsakos Harvard University
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Christian Igel
Christian Igel University of Copenhagen
Lino Guzzella
Lino Guzzella ETH Zurich
Benjamin Doerr
Benjamin Doerr École Polytechnique
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Artem R. Oganov
Artem R. Oganov Skolkovo Institute of Science and Technology
James L. Kennedy
James L. Kennedy Centre for Addiction and Mental Health

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