Markus Wagner

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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
Mehdi NeshatPostdoctoral research associate, University of South AustraliaVerified email at unisa.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerified email at hpi.de
Nataliia Y. SergiienkoSenior Lecturer, University of AdelaideVerified email at adelaide.edu.au
Marcella Scoczynski Ribeiro MartinsPhD at Federal University of Technology - Parana UTFPRVerified email at utfpr.edu.br
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerified email at mpi-inf.mpg.de
Christoph TreudeSenior Lecturer in Software Engineering, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Mahmoud Bokhari محمود بخاريTaibah UniversityVerified email at taibahu.edu.sa
Mohamed El YafraniAalborg UniversityVerified email at mp.aau.dk
Jakob BossekRWTH Aachen UniversityVerified email at aim.rwth-aachen.de
Sam NallaperumaUniversity of CambridgeVerified email at cam.ac.uk
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Shelvin ChandDominosVerified email at dominos.com.au
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáVerified email at utfpr.edu.br
Myriam DelgadoFederal University of Technology of ParanáVerified email at utfpr.edu.br
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Davide Astiaso GarciaDIAEE - Sapienza University of RomeVerified email at uniroma1.it
Meysam Majidi NezhadPh.D. / Eng.Verified email at uniroma1.it

Markus Wagner

Associate Professor of Computer Science, Monash University, Australia

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	148	2015
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	117	2013
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	116	2014
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner Twenty-Second International Joint Conference on Artificial Intelligence, 2011	99	2011
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	97	2015
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	93	2013
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, 151-182, 2013	91	2013
A fast approximation-guided evolutionary multi-objective algorithm M Wagner, F Neumann Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	79	2013
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, LB Tjernberg, ... Energy Conversion and Management 236, 114002, 2021	70	2021
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	70	2018
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, 295-320, 2018	67	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	64	2015
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	64	2011
Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020	62	2020
Performance analysis of ZigBee network topologies for underground space monitoring and communication systems MA Moridi, Y Kawamura, M Sharifzadeh, EK Chanda, M Wagner, ... Tunnelling and Underground Space Technology 71, 201-209, 2018	62	2018
Optimizing the layout of 1000 wind turbines M Wagner, K Veeramachaneni, F Neumann, UM O’Reilly European wind energy association annual event 205209, 2011	61	2011
A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters M Neshat, B Alexander, M Wagner Information Sciences 534, 218-244, 2020	49	2020
Wind turbine power output prediction using a new hybrid neuro-evolutionary method M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ... Energy 229, 120617, 2021	48	2021
Rosita: Towards automatic elimination of power-analysis leakage in ciphers MA Shelton, N Samwel, L Batina, F Regazzoni, M Wagner, Y Yarom arXiv preprint arXiv:1912.05183, 2019	48	2019
Stealing items more efficiently with ants: a swarm intelligence approach to the travelling thief problem M Wagner Swarm Intelligence: 10th International Conference, ANTS 2016, Brussels …, 2016	48	2016

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