Dirk Sudholt - Google Scholar Citations

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Carsten WittAssociate Professor, Technical University of DenmarkVerified email at imm.dtu.dk
Pietro S. OlivetoSenior Lecturer, EPSRC Early Career Fellow, The University of Sheffield, UKVerified email at sheffield.ac.uk
Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Per Kristian LehreUniversity of BirminghamVerified email at cs.bham.ac.uk
Thomas JansenAberystwyth UniversityVerified email at aber.ac.uk
Christine ZargesDepartment of Computer Science, Aberystwyth UniversityVerified email at aber.ac.uk
Duc-Cuong DangUniversity of NottinghamVerified email at nottingham.ac.uk
Andrew M. SuttonUniversity of Minnesota DuluthVerified email at umn.edu
Benjamin DoerrProfessor at Ecole Polytechnique, France; senior researcher at Max Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Jonathan RoweSchool of Computer Science, University of Birmingham Verified email at cs.bham.ac.uk
Carola DoerrCNRS researcher at Sorbonne UniversityVerified email at mpi-inf.mpg.de
Xin YaoSouthern University of Science and Technology (SUSTech) and University of BirminghamVerified email at cs.bham.ac.uk
Andrea MambriniOptidromeVerified email at optidrome.com
Leandro MinkuLecturer in Intelligent Systems, University of BirminghamVerified email at cs.bham.ac.uk
Heiko RöglinProfessor of Computer Science, University of BonnVerified email at cs.uni-bonn.de
Dimo BrockhoffInria, Ecole Polytechnique, Institut Polytechnique de ParisVerified email at inria.fr
Phil McMinnProfessor of Software Engineering, University of SheffieldVerified email at sheffield.ac.uk
Markus WagnerSenior Lecturer of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Alberto MoraglioUniversity of ExeterVerified email at exeter.ac.uk

Dirk Sudholt

University of Sheffield, UK

Verified email at sheffield.ac.uk

Computational complexity randomized algorithms metaheuristics natural computation parallelism


Title	Cited by	Year
A new method for lower bounds on the running time of evolutionary algorithms D Sudholt IEEE Transactions on Evolutionary Computation 17 (3), 418-435, 2012	87	2012
Crossover is provably essential for the Ising model on trees D Sudholt Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	86	2005
Analysis of diversity-preserving mechanisms for global exploration T Friedrich, PS Oliveto, D Sudholt, C Witt Evolutionary Computation 17 (4), 455-476, 2009	79	2009
The impact of parametrization in memetic evolutionary algorithms D Sudholt Theoretical Computer Science 410 (26), 2511-2528, 2009	67	2009
Analysis of different MMAS ACO algorithms on unimodal functions and plateaus F Neumann, D Sudholt, C Witt Swarm Intelligence 3 (1), 35-68, 2009	65	2009
How crossover helps in pseudo-boolean optimization T Kötzing, D Sudholt, M Theile Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	64	2011
On the runtime analysis of the 1-ANT ACO algorithm B Doerr, F Neumann, D Sudholt, C Witt Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007	55	2007
The choice of the offspring population size in the (1, λ) evolutionary algorithm JE Rowe, D Sudholt Theoretical Computer Science 545, 20-38, 2014	52	2014
Crossover speeds up building-block assembly D Sudholt Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	47	2012
Parallel evolutionary algorithms D Sudholt Springer Handbook of Computational Intelligence, 929-959, 2015	46	2015
Adaptive population models for offspring populations and parallel evolutionary algorithms J Lässig, D Sudholt Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011	46	2011
Running time analysis of ant colony optimization for shortest path problems D Sudholt, C Thyssen Journal of Discrete Algorithms 10, 165-180, 2012	45	2012
The choice of the offspring population size in the (1, λ) EA JE Rowe, D Sudholt Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012	43	2012
Mutation rate matters even when optimizing monotonic functions B Doerr, T Jansen, D Sudholt, C Winzen, C Zarges Evolutionary computation 21 (1), 1-27, 2013	40	2013
General lower bounds for the running time of evolutionary algorithms D Sudholt International Conference on Parallel Problem Solving from Nature, 124-133, 2010	39	2010
Rigorous analyses for the combination of ant colony optimization and local search F Neumann, D Sudholt, C Witt International Conference on Ant Colony Optimization and Swarm Intelligence …, 2008	39	2008
Runtime analysis of binary PSO D Sudholt, C Witt Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	39	2008
Unbiased black-box complexity of parallel search G Badkobeh, PK Lehre, D Sudholt International Conference on Parallel Problem Solving from Nature, 892-901, 2014	37	2014
Design and analysis of migration in parallel evolutionary algorithms J Lässig, D Sudholt Soft Computing 17 (7), 1121-1144, 2013	37	2013
Theoretical analysis of diversity mechanisms for global exploration T Friedrich, PS Oliveto, D Sudholt, C Witt Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	37	2008

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