Items where authors include "Neumann, F."

Article

Bossek, J., Neumann, F., Peng, P. orcid.org/0000-0003-2700-5699 et al. (1 more author) (2021) Time complexity analysis of randomized search heuristics for the dynamic graph coloring problem. Algorithmica, 83. pp. 3148-3179. ISSN 0178-4617

Covantes Osuna, E. orcid.org/0000-0001-5991-6927, Gao, W., Neumann, F. et al. (1 more author) (2020) Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation. Theoretical Computer Science, 832. pp. 123-142. ISSN 0304-3975

Nallaperuma, S., Neumann, F. and Sudholt, D. orcid.org/0000-0001-6020-1646 (2016) Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem. Evolutionary Computation. ISSN 1063-6560

Corus, D., Lehre, P.K., Neumann, F. et al. (1 more author) (2016) A Parameterised Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms. Evolutionary Computation, 24 (1). pp. 183-203. ISSN 1063-6560

Proceedings Paper

Bossek, J., Neumann, F., Peng, P. et al. (1 more author) (2020) More effective randomized search heuristics for graph coloring through dynamic optimization. In: GECCO 2020: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2020 : Genetic and Evolutionary Computation Conference, 08-12 Jul 2020, Cancún, Mexico. ACM Digital Library , pp. 1277-1285. ISBN 9781450371285

Bossek, J., Neumann, F., Peng, P. orcid.org/0000-0003-2700-5699 et al. (1 more author) (2019) Runtime analysis of randomized search heuristics for dynamic graph coloring. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 19). Genetic and Evolutionary Computation Conference (GECCO '19), 13-17 Jul 2019, Prague, Czech Republic. ACM , pp. 1443-1451. ISBN 9781450361118

Covantes Osuna, E., Gao, W., Neumann, F. et al. (1 more author) (2017) Speeding Up Evolutionary Multi-objective Optimisation Through Diversity-Based Parent Selection. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 17). Genetic and Evolutionary Computation Conference (GECCO 2017), 15/07/2017 - 19/07/2017, Berlin. ACM , pp. 553-560.