Frank Neumann - Google Scholar Citations

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	All	Since 2015
Citations	5354	3104
h-index	40	29
i10-index	119	96

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Co-authors

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 WagnerSenior Lecturer 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
Dirk SudholtUniversity of Sheffield, UKVerified email at sheffield.ac.uk
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Aneta NeumannResearcher, PRIF Research Consortium, Computer Science, AustraliaVerified email at adelaide.edu.au
Heike TrautmannProfessor of Statistics, Department of Information Systems, University of Münster, GermanyVerified email at wi.uni-muenster.de
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Zbigniew MichalewiczEmeritus Professor, University of AdelaideVerified 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 BirminghamVerified email at cs.bham.ac.uk
Una-May O'ReillyAny Scale Learning for All (ALFA) Group, CSAIL, MITVerified email at csail.mit.edu
Mohammad Reza BonyadiPrincipal Adviser, Data Science, Rio TintoVerified email at riotinto.com
Junhua WuPhD of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Olaf Mersmannformerly TU DortmundVerified email at p-value.net
He, JunNottingham Trent UniversityVerified email at ntu.ac.uk

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	355	2010
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem F Neumann, I Wegener Theoretical Computer Science 378 (1), 32-40, 2007	251	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	172*	2009
Minimum spanning trees made easier via multi-objective optimization F Neumann, I Wegener Natural Computing 5 (3), 305-319, 2006	152	2006
Runtime analysis of a simple ant colony optimization algorithm F Neumann, C Witt Algorithmica 54 (2), 243, 2009	149	2009
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	129	2010
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	101	2010
Ant colony optimization and the minimum spanning tree problem F Neumann, C Witt Theoretical Computer Science 411 (25), 2406-2413, 2010	93	2010
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	91	2007
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	83	2013
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	81	2011
Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann International Conference on Parallel Problem Solving from Nature, 651-660, 2008	79	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	77	2014
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
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 (4), 2012	67	2012
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus F Neumann, D Sudholt, C Witt Swarm Intelligence 3 (1), 35-68, 2009	67	2009
Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point T Friedrich, F Neumann, C Thyssen Evolutionary computation 23 (1), 131-159, 2015	65*	2015
RelView–An OBDD-based Computer Algebra system for relations R Berghammer, F Neumann International Workshop on Computer Algebra in Scientific Computing, 40-51, 2005	65	2005
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	62	2013

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