Francesco Quinzan
Francesco Quinzan
Hasso Plattner Institute, University of Potsdam
Verified email at hpi.de
Title
Cited by
Cited by
Year
Escaping large deceptive basins of attraction with heavy-tailed mutation operators
T Friedrich, F Quinzan, M Wagner
Proceedings of the Genetic and Evolutionary Computation Conference, 293-300, 2018
322018
Heavy-tailed mutation operators in single-objective combinatorial optimization
T Friedrich, A Göbel, F Quinzan, M Wagner
International Conference on Parallel Problem Solving from Nature, 134-145, 2018
282018
Greedy maximization of functions with bounded curvature under partition matroid constraints
T Friedrich, A Göbel, F Neumann, F Quinzan, R Rothenberger
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2272-2279, 2019
172019
Evolutionary algorithms and submodular functions: Benefits of heavy-tailed mutations
T Friedrich, A Göbel, F Quinzan, M Wagner
arXiv preprint arXiv:1805.10902, 2018
72018
Approximating optimization problems using EAs on scale-free networks
A Chauhan, T Friedrich, F Quinzan
Proceedings of the Genetic and Evolutionary Computation Conference, 235-242, 2017
52017
Resampling vs recombination: A statistical run time estimation
T Friedrich, T Kötzing, F Quinzan, AM Sutton
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017
22017
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions
F Quinzan, V Doskoc, A Göbel, T Friedrich
International Conference on Artificial Intelligence and Statistics, 964-972, 2021
12021
Improving the run time of the (1+ 1) evolutionary algorithm with luby sequences
T Friedrich, T Kötzing, F Quinzan, AM Sutton
Proceedings of the Genetic and Evolutionary Computation Conference, 301-308, 2018
12018
Evolutionary algorithms and submodular functions: benefits of heavy-tailed mutations
F Quinzan, A Göbel, M Wagner, T Friedrich
Natural Computing, 1-15, 2021
2021
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