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
3982010
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem
F Neumann, I Wegener
Theoretical Computer Science 378 (1), 32-40, 2007
2742007
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
200*2009
Minimum spanning trees made easier via multi-objective optimization
F Neumann, I Wegener
Natural Computing 5 (3), 305-319, 2006
1702006
Automated algorithm selection: Survey and perspectives
P Kerschke, HH Hoos, F Neumann, H Trautmann
Evolutionary computation 27 (1), 3-45, 2019
1592019
Runtime analysis of a simple ant colony optimization algorithm
F Neumann, C Witt
Algorithmica 54 (2), 243-255, 2009
1582009
Optimal fixed and adaptive mutation rates for the LeadingOnes problem
S Böttcher, B Doerr, F Neumann
International Conference on Parallel Problem Solving from Nature, 1-10, 2010
1502010
Approximating covering problems by randomized search heuristics using multi-objective models
T Friedrich, J He, N Hebbinghaus, F Neumann, C Witt
Evolutionary Computation 18 (4), 617-633, 2010
1442010
Ant colony optimization and the minimum spanning tree problem
F Neumann, C Witt
Theoretical Computer Science 411 (25), 2406-2413, 2010
1082010
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
1062014
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
1052013
Approximation-guided evolutionary multi-objective optimization
K Bringmann, T Friedrich, F Neumann, M Wagner
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
942011
Analyzing hypervolume indicator based algorithms
D Brockhoff, T Friedrich, F Neumann
International Conference on Parallel Problem Solving from Nature, 651-660, 2008
942008
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
932007
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
852012
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
842013
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus
F Neumann, D Sudholt, C Witt
Swarm Intelligence 3 (1), 35-68, 2009
762009
Expected runtimes of evolutionary algorithms for the Eulerian cycle problem
F Neumann
Computers & Operations Research 35 (9), 2750-2759, 2008
75*2008
Expected runtimes of evolutionary algorithms for the Eulerian cycle problem
F Neumann
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
752004
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
742013
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