Markus Wagner - Google Scholar Citations

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	All	Since 2013
Citations	1226	1130
h-index	20	19
i10-index	37	34

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200820092010201120122013201420152016201720185 16 9 21 26 88 104 155 199 257 301

Co-authors

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
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Olaf Mersmannformerly TU DortmundVerified email at p-value.net
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
Una-May O'ReillyAny Scale Learning for All (ALFA) Group, CSAIL, MITVerified email at csail.mit.edu
Carola DoerrCNRS researcher at Sorbonne UniversityVerified email at mpi-inf.mpg.de
Shelvin ChandUniversity of New South WalesVerified email at student.adfa.edu.au
Mohammad Reza BonyadiPrincipal Adviser, Data Science, Rio TintoVerified email at riotinto.com
Zbigniew MichalewiczProfessor of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Junhua WuPhD of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Karl BringmannSenior Researcher in Computer Science, Max Planck Institute for Informatics, Saarland InformaticsVerified email at mpi-inf.mpg.de
Kalyan VeeramachaneniPrincipal Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Mahmoud BokhariPhD. student, University of AdelaideVerified email at student.adelaide.edu.au
Tommaso UrliSataliaVerified email at satalia.com
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Hyongdoo JangWestern Australian School of Mines, Curtin UniversityVerified email at curtin.edu.au
Boyin DingResearch fellow of the School of Mechanical Engineering, the University of AdelaideVerified email at adelaide.edu.au
Nataliia Y. SergiienkoResearch Associate, University of AdelaideVerified email at adelaide.edu.au

Markus Wagner

Senior Lecturer of Computer Science, The University of Adelaide

Verified email at adelaide.edu.au - Homepage

Artificial Intelligence Evolutionary Computation Bio-Inspired Algorithms Formal Methods Renewable Energy


Title	Cited by	Year
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	70	2011
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	67	2013
A survey of visualization systems for malware analysis M Wagner, F Fischer, R Luh, A Haberson, A Rind, DA Keim, W Aigner, ... EG Conference on Visualization (EuroVis)-STARs, 105-125, 2015	54	2015
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	49	2014
Optimizing the layout of 1000 wind turbines M Wagner, K Veeramachaneni, F Neumann, UM O’Reilly European wind energy association annual event 205209, 2011	49	2011
Evolutionary many-objective optimization: A quick-start guide S Chand, M Wagner Surveys in Operations Research and Management Science 20 (2), 35-42, 2015	48	2015
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	47	2013
Faster black-box algorithms through higher arity operators B Doerr, D Johannsen, T Kötzing, PK Lehre, M Wagner, C Winzen Proceedings of the 11th workshop proceedings on Foundations of genetic …, 2011	43	2011
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	39	2013
A fast approximation-guided evolutionary multi-objective algorithm M Wagner, F Neumann Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	35	2013
Optimizing energy output and layout costs for large wind farms using particle swarm optimization K Veeramachaneni, M Wagner, UM O'Reilly, F Neumann Evolutionary Computation (CEC), 2012 IEEE Congress on, 1-7, 2012	32	2012
Development of underground mine monitoring and communication system integrated ZigBee and GIS MA Moridi, Y Kawamura, M Sharifzadeh, EK Chanda, M Wagner, H Jang, ... International Journal of Mining Science and Technology 25 (5), 811-818, 2015	31	2015
Fast and effective multi-objective optimisation of wind turbine placement R Tran, J Wu, C Denison, T Ackling, M Wagner, F Neumann Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	30	2013
Approximate approaches to the traveling thief problem H Faulkner, S Polyakovskiy, T Schultz, M Wagner Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	28	2015
Local search and the traveling salesman problem: A feature-based characterization of problem hardness O Mersmann, B Bischl, J Bossek, H Trautmann, M Wagner, F Neumann Learning and Intelligent Optimization, 115-129, 2012	24	2012
Simple max-min ant systems and the optimization of linear pseudo-boolean functions T Kötzing, F Neumann, D Sudholt, M Wagner arXiv preprint arXiv:1007.4707, 2010	24	2010
Composing music with neural networks and probabilistic finite-state machines T Oliwa, M Wagner Workshops on Applications of Evolutionary Computation, 503-508, 2008	24	2008
Problem characterization and abstraction for visual analytics in behavior-based malware pattern analysis M Wagner, W Aigner, A Rind, H Dornhackl, K Kadletz, R Luh, P Tavolato Proceedings of the Eleventh Workshop on Visualization for Cyber Security, 9-16, 2014	22	2014
Server directed client originated search aggregator M Stemeseder, M Wagner US Patent 8,583,617, 2013	22	2013
A case study of algorithm selection for the traveling thief problem M Wagner, M Lindauer, M Mısır, S Nallaperuma, F Hutter Journal of Heuristics 24 (3), 295-320, 2018	21	2018

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