Frank Neumann

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Carsten WittTechnical University of DenmarkVerified email at imm.dtu.dk
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Benjamin DoerrProfessor at Ecole Polytechnique, FranceVerified email at lix.polytechnique.fr
Aneta NeumannResearcher, The University of Adelaide, AustraliaVerified email at adelaide.edu.au
Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Mojgan PourhassanMachine Learning Engineer, AIMLVerified email at adelaide.edu.au
Vahid RoostapourPhD Student of Computer ScienceVerified email at adelaide.edu.au
Zbigniew MichalewiczChief Scientist, ComplexicaVerified email at adelaide.edu.au
Per Kristian LehreUniversity of Birmingham and UKRI Turing AI Acceleration FellowVerified email at cs.bham.ac.uk
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
Junhua WuPhD of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldVerified email at sheffield.ac.uk
Reza BonyadiSenior Manager, MicrosoftVerified email at microsoft.com
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de

Frank Neumann

Optimisation and Logistics, School of Computer

Verified email at adelaide.edu.au - Homepage

Algorithms Artificial Intelligence Bio-inspired Computation Evolutionary Computation Optimization


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Bioinspired computation in combinatorial optimization: algorithms and their computational complexity F Neumann, C Witt Springer, 2010	423	2010
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem F Neumann, I Wegener Theoretical Computer Science 378 (1), 32-40, 2007	277	2007
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	214	2019
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	201*	2009
Minimum spanning trees made easier via multi-objective optimization F Neumann, I Wegener Natural Computing 5 (3), 305-319, 2006	176	2006
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	166	2012
Runtime analysis of a simple ant colony optimization algorithm F Neumann, C Witt Algorithmica 54 (2), 243-255, 2009	162	2009
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	156	2010
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	150	2010
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	111	2013
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	109	2014
Ant colony optimization and the minimum spanning tree problem F Neumann, C Witt Theoretical Computer Science 411 (25), 2406-2413, 2010	109	2010
Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann International Conference on Parallel Problem Solving from Nature, 651-660, 2008	98	2008
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	97	2011
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	95	2007
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	88	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	85	2013
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	84	2012
Intrabasin paleoearthquake and quiescence correlation of the late Holocene Dead Sea E Kagan, M Stein, A Agnon, F Neumann Journal of Geophysical Research: Solid Earth 116 (B4), 2011	81	2011
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus F Neumann, D Sudholt, C Witt Swarm Intelligence 3 (1), 35-68, 2009	77	2009

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