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Frank Neumann
Frank Neumann
Optimisation and Logistics, School of Computer
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Bioinspired computation in combinatorial optimization: algorithms and their computational complexity
F Neumann, C Witt
Springer, 2010
5482010
Automated algorithm selection: Survey and perspectives
P Kerschke, HH Hoos, F Neumann, H Trautmann
Evolutionary computation 27 (1), 3-45, 2019
5002019
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem
F Neumann, I Wegener
Theoretical Computer Science 378 (1), 32-40, 2007
3142007
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
224*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
2092012
Minimum spanning trees made easier via multi-objective optimization
F Neumann, I Wegener
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005
2022005
Theory of evolutionary computation: Recent developments in discrete optimization
B Doerr, F Neumann
Springer Nature, 2019
1902019
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
1842010
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
1832007
Runtime analysis of a simple ant colony optimization algorithm
F Neumann, C Witt
Algorithmica 54 (2), 243-255, 2009
1752009
Analyzing hypervolume indicator based algorithms
D Brockhoff, T Friedrich, F Neumann
International Conference on Parallel Problem Solving from Nature, 651-660, 2008
1432008
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
1422014
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
1272013
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
1222007
Ant colony optimization and the minimum spanning tree problem
F Neumann, C Witt
Theoretical Computer Science 411 (25), 2406-2413, 2010
1142010
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
1122013
Approximation-guided evolutionary multi-objective optimization
K Bringmann, T Friedrich, F Neumann, M Wagner
IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011
1122011
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
1022012
Maximizing submodular functions under matroid constraints by evolutionary algorithms
T Friedrich, F Neumann
Evolutionary computation 23 (4), 543-558, 2015
101*2015
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
1012013
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