Frank Neumann - Google Scholar

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	All	Since 2015
Citations	5697	3387
h-index	41	31
i10-index	125	103

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Co-authors

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 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
Aneta NeumannResearcher, Research Consortium, Computer Science, AustraliaVerified email at adelaide.edu.au
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Heike TrautmannProfessor of Statistics, Department of Information Systems, University of Münster, GermanyVerified email at wi.uni-muenster.de
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Mojgan PourhassanLecturer of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
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
Mohammad Reza BonyadiPrincipal Adviser, Data Science, Rio TintoVerified email at riotinto.com
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
Vahid RoostapourPhD Student of Computer ScienceVerified email at adelaide.edu.au
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bioinspired computation in combinatorial optimization: algorithms and their computational complexity F Neumann, C Witt Springer, 2010	368	2010
Randomized local search, evolutionary algorithms, and the minimum spanning tree problem F Neumann, I Wegener Theoretical Computer Science 378 (1), 32-40, 2007	258	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	176*	2009
Minimum spanning trees made easier via multi-objective optimization F Neumann, I Wegener Natural Computing 5 (3), 305-319, 2006	153	2006
Runtime analysis of a simple ant colony optimization algorithm F Neumann, C Witt Algorithmica 54 (2), 243, 2009	150	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	133	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	109	2010
Ant colony optimization and the minimum spanning tree problem F Neumann, C Witt Theoretical Computer Science 411 (25), 2406-2413, 2010	96	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	90	2007
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	87	2014
Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann International Conference on Parallel Problem Solving from Nature, 651-660, 2008	85	2008
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	84	2013
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	84	2011
Expected runtimes of evolutionary algorithms for the Eulerian cycle problem F Neumann Computers & Operations Research 35 (9), 2750-2759, 2008	76*	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	76	2004
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus F Neumann, D Sudholt, C Witt Swarm Intelligence 3 (1), 35-68, 2009	69	2009
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	68	2012
Automated algorithm selection: Survey and perspectives P Kerschke, HH Hoos, F Neumann, H Trautmann Evolutionary computation 27 (1), 3-45, 2019	67	2019
Theoretical analysis of fitness-proportional selection: landscapes and efficiency F Neumann, PS Oliveto, C Witt Proceedings of the 11th Annual conference on Genetic and evolutionary …, 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	66*	2015

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