Frank Neumann

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Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Carsten WittTechnical University of DenmarkVerified email at imm.dtu.dk
Markus WagnerAssociate Professor of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Benjamin DoerrProfessor at Ecole Polytechnique, France; senior researcher at Max Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Aneta NeumannResearcher, The University of Adelaide, AustraliaVerified email at adelaide.edu.au
Dirk SudholtUniversity of Passau, GermanyVerified email at uni-passau.de
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.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
Zbigniew MichalewiczChief Scientist, ComplexicaVerified email at adelaide.edu.au
Pietro S. OlivetoSenior Lecturer, EPSRC Early Career Fellow, The University of Sheffield, UKVerified email at sheffield.ac.uk
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
Vahid RoostapourPhD Student of Computer ScienceVerified email at adelaide.edu.au
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
Mohammad Reza BonyadiPrincipal Advisor, Data Science, Rio TintoVerified email at riotinto.com
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr

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	398	2010
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem F Neumann, I Wegener Theoretical Computer Science 378 (1), 32-40, 2007	274	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	200*	2009
Minimum spanning trees made easier via multi-objective optimization F Neumann, I Wegener Natural Computing 5 (3), 305-319, 2006	170	2006
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	158	2019
Runtime analysis of a simple ant colony optimization algorithm F Neumann, C Witt Algorithmica 54 (2), 243-255, 2009	158	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	150	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	144	2010
Ant colony optimization and the minimum spanning tree problem F Neumann, C Witt Theoretical Computer Science 411 (25), 2406-2413, 2010	108	2010
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	106	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	104	2013
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	94	2011
Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann International Conference on Parallel Problem Solving from Nature, 651-660, 2008	94	2008
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	93	2007
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	85	2012
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	84	2013
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus F Neumann, D Sudholt, C Witt Swarm Intelligence 3 (1), 35-68, 2009	76	2009
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	75	2004
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	74	2013

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