Andrew M Sutton

20062020

Research output per year

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Research Output

Parameterized complexity analysis of randomized search heuristics

Neumann, F. & Sutton, A. M., Jan 1 2020, Natural Computing Series. Springer, p. 213-248 36 p. (Natural Computing Series).

Research output: Chapter in Book/Report/Conference proceedingChapter

  • Theory of evolutionary computation – Special Issue Editorial

    Oliveto, P. S. & Sutton, A. M., Sep 6 2020, In : Theoretical Computer Science. 832, p. 1-2 2 p.

    Research output: Contribution to journalEditorial

    Lower bounds on the runtime of crossover-based algorithms via decoupling and family graphs

    Sutton, A. M. & Witt, C., Jul 13 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 1515-1522 8 p. (GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • On the empirical time complexity of scale-free 3-sat at the phase transition

    Bläsius, T., Friedrich, T. & Sutton, A. M., Jan 1 2019, Tools and Algorithms for the Construction and Analysis of Systems - 25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Proceedings. Vojnar, T. & Zhang, L. (eds.). Springer Verlag, p. 117-134 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11427 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Runtime analysis of the (1+1) evolutionary algorithm for the chance-constrained knapsack problem

    Neumann, F. & Sutton, A. M., Aug 27 2019, FOGA 2019 - Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, Inc, p. 147-153 7 p. (FOGA 2019 - Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution