Carsten Witt

  1. 2018
  2. Published

    Domino convergence: Why one should hill-climb on linear functions. / Witt, Carsten.

    Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2018. p. 1539-1546.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2018

  3. Published

    Medium step sizes are harmful for the compact genetic algorithm. / Lengler, Johannes; Sudholt, Dirk; Witt, Carsten.

    2018 Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2018. p. 1499-1506.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2018

  4. Published

    Optimal Mutation Rates for the (1+ λ) EA on OneMax Through Asymptotically Tight Drift Analysis. / Gießen, Christian; Witt, Carsten.

    In: Algorithmica, Vol. 80, No. 5, 2018, p. 1710-1731.

    Publication: Research - peer-reviewJournal article – Annual report year: 2018

  5. Published

    Runtime analysis for self-adaptive mutation rates. / Doerr, Benjamin; Witt, Carsten; Yang, Jing.

    2018 Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2018. p. 1475-1482.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2018

  6. Published

    The Impact of Parametrization on Randomized Search Heuristics. / Gießen, Christian; Witt, Carsten (Main supervisor).

    DTU Compute, 2018. 156 p. (DTU Compute PHD-2017, Vol. 460).

    Publication: ResearchPh.D. thesis – Annual report year: 2018

  7. 2017
  8. Published

    A Runtime Analysis of Parallel Evolutionary Algorithms in Dynamic Optimization. / Lissovoi, Andrei; Witt, Carsten.

    In: Algorithmica, Vol. 78, No. 2, 2017, p. 641–659.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  9. Published

    Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax. / Krejca, Martin S.; Witt, Carsten.

    14th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms. Association for Computing Machinery, 2017. p. 65-79.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

  10. Published

    The (1+λ) evolutionary algorithm with self-adjusting mutation rate. / Doerr, Benjamin; Witt, Carsten; Gießen, Christian; Yang, Jing.

    Proceedings of 2017 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, 2017. p. 1351-1358.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

  11. Published

    The Impact of a Sparse Migration Topology on the Runtime of Island Models in Dynamic Optimization. / Lissovoi, Andrei; Witt, Carsten.

    In: Algorithmica, 2017, p. 1-24.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  12. Published

    The Interplay of Population Size and Mutation Probability in the (1+λ) EA on OneMax. / Gießen, Christian; Witt, Carsten.

    In: Algorithmica, Vol. 78, No. 2, 2017, p. 587–609.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

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