Markus Wagner

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	All	Since 2015
Citations	2000	1742
h-index	25	23
i10-index	59	56

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Co-authors

Frank NeumannOptimisation and Logistics, School of ComputerVerified email at adelaide.edu.au
Brad AlexanderSchool of Computer Science, University of AdelaideVerified email at cs.adelaide.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Nataliia Y. SergiienkoLecturer, University of AdelaideVerified email at adelaide.edu.au
Mehdi NeshatPhD, Optimization and Logistics, Computer Science department, Adelaide UniversityVerified email at adelaide.edu.au
Carola DoerrCNRS researcher at Sorbonne UniversityVerified email at mpi-inf.mpg.de
Mahmoud BokhariPhD. student, University of AdelaideVerified email at student.adelaide.edu.au
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Marcella Scoczynski Ribeiro MartinsPhD at Federal University of Technology - Parana UTFPRVerified email at utfpr.edu.br
Heike TrautmannProfessor of Statistics, Department of Information Systems, University of Münster, GermanyVerified email at wi.uni-muenster.de
Mohamed El YafraniPostdoc fellow at Aalborg UniversityVerified email at mp.aau.dk
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Shelvin ChandCSIROVerified email at csiro.au
Mohammad Reza BonyadiPrincipal Adviser, Data Science, Rio TintoVerified email at riotinto.com
Zbigniew MichalewiczEmeritus Professor, University of AdelaideVerified email at adelaide.edu.au
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Olaf MersmannTH KölnVerified email at p-value.net
Junhua WuPhD of Computer Science, University of AdelaideVerified email at adelaide.edu.au
Una-May O'ReillyMIT, CSAIL, Any Scale Learning for All (ALFA) GroupVerified email at csail.mit.edu
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáVerified email at utfpr.edu.br

Markus Wagner

Senior Lecturer of Computer Science, The University of Adelaide

Verified email at adelaide.edu.au - Homepage

Artificial Intelligence Evolutionary Computation Wave Energy Genetic Improvement Search-Based Software Engineering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evolutionary many-objective optimization: A quick-start guide S Chand, M Wagner Surveys in Operations Research and Management Science 20 (2), 35-42, 2015	96	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	94	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	89	2013
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	85	2011
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	67	2013
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	63	2013
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	58	2015
A fast approximation-guided evolutionary multi-objective algorithm M Wagner, F Neumann Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	56	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	54	2011
Optimizing the layout of 1000 wind turbines M Wagner, K Veeramachaneni, F Neumann, UM O’Reilly European wind energy association annual event 205209, 2011	53	2011
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	50	2018
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	50	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	36	2013
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 International Conference on Learning and Intelligent Optimization, 115-129, 2012	36	2012
Evolutionary computation for multicomponent problems: opportunities and future directions MR Bonyadi, Z Michalewicz, M Wagner, F Neumann Optimization in Industry, 13-30, 2019	33	2019
Optimizing energy output and layout costs for large wind farms using particle swarm optimization K Veeramachaneni, M Wagner, UM O'Reilly, F Neumann 2012 IEEE Congress on Evolutionary Computation, 1-7, 2012	33	2012
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems S Chand, Q Huynh, H Singh, T Ray, M Wagner Information Sciences 432, 146-163, 2018	32	2018
Composing music with neural networks and probabilistic finite-state machines T Oliwa, M Wagner Workshops on Applications of Evolutionary Computation, 503-508, 2008	32	2008
Stealing items more efficiently with ants: a swarm intelligence approach to the travelling thief problem M Wagner International Conference on Swarm Intelligence, 273-281, 2016	31	2016
Seeding the initial population of multi-objective evolutionary algorithms: A computational study T Friedrich, M Wagner Applied Soft Computing 33, 223-230, 2015	30	2015

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