| Bioinspired computation in combinatorial optimization: algorithms and their computational complexity F Neumann, C Witt Springer, 2010 | 534 | 2010 |
| Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019 | 456 | 2019 |
| Randomized local search, evolutionary algorithms, and the minimum spanning tree problem F Neumann, I Wegener Theoretical Computer Science 378 (1), 32-40, 2007 | 307 | 2007 |
| On the effects of adding objectives to plateau functions D Brockhoff, T Friedrich, N Hebbinghaus, C Klein, F Neumann, E Zitzler IEEE Transactions on Evolutionary Computation 13 (3), 591-603, 2009 | 221* | 2009 |
| Holocene climate variability in the Levant from the Dead Sea pollen record T Litt, C Ohlwein, FH Neumann, A Hense, M Stein Quaternary Science Reviews 49, 95-105, 2012 | 205 | 2012 |
| Minimum spanning trees made easier via multi-objective optimization F Neumann, I Wegener Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 199 | 2005 |
| Optimal fixed and adaptive mutation rates for the LeadingOnes problem S Böttcher, B Doerr, F Neumann Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 180 | 2010 |
| Approximating covering problems by randomized search heuristics using multi-objective models T Friedrich, N Hebbinghaus, F Neumann, J He, C Witt Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 179 | 2007 |
| Runtime analysis of a simple ant colony optimization algorithm F Neumann, C Witt Algorithmica 54 (2), 243-255, 2009 | 174 | 2009 |
| Theory of evolutionary computation: Recent developments in discrete optimization B Doerr, F Neumann Springer Nature, 2019 | 172 | 2019 |
| Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann International Conference on Parallel Problem Solving from Nature, 651-660, 2008 | 139 | 2008 |
| A comprehensive benchmark set and heuristics for the traveling thief problem S Polyakovskiy, MR Bonyadi, M Wagner, Z Michalewicz, F Neumann Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014 | 128 | 2014 |
| A fast and effective local search algorithm for optimizing the placement of wind turbines M Wagner, J Day, F Neumann Renewable energy 51, 64-70, 2013 | 126 | 2013 |
| Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem F Neumann European Journal of Operational Research 181 (3), 1620-1629, 2007 | 119 | 2007 |
| Ant colony optimization and the minimum spanning tree problem F Neumann, C Witt Theoretical Computer Science 411 (25), 2406-2413, 2010 | 113 | 2010 |
| Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011 | 105 | 2011 |
| Predicting the energy output of wind farms based on weather data: Important variables and their correlation E Vladislavleva, T Friedrich, F Neumann, M Wagner Renewable energy 50, 236-243, 2013 | 104 | 2013 |
| A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013 | 98 | 2013 |
| Maximizing submodular functions under matroid constraints by evolutionary algorithms T Friedrich, F Neumann Evolutionary computation 23 (4), 543-558, 2015 | 96* | 2015 |
| Precipitation variability in the winter rainfall zone of South Africa during the last 1400 yr linked to the austral westerlies JC Stager, PA Mayewski, J White, BM Chase, FH Neumann, ... Climate of the Past 8 (3), 877-887, 2012 | 95 | 2012 |
Aneta NeumannResearcher, The University of Adelaide, Australia在 adelaide.edu.au 的电子邮件经过验证
