Markus Wagner

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Frank NeumannOptimisation and Logistics, School of ComputerVerifisert e-postadresse på adelaide.edu.au
Christoph TreudeAssociate Professor of Computer Science, Singapore Management UniversityVerifisert e-postadresse på smu.edu.sg
Mehdi NeshatSenior Research Fellow, University of Technology Sydney, CHS, TUAVerifisert e-postadresse på uts.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyVerifisert e-postadresse på hpi.de
Nataliia Y. SergiienkoARC Industry Fellow, University of AdelaideVerifisert e-postadresse på adelaide.edu.au
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceVerifisert e-postadresse på mpi-inf.mpg.de
Marcella Scoczynski Ribeiro MartinsPhD at Federal University of Technology - Parana UTFPRVerifisert e-postadresse på utfpr.edu.br
Mohamed El YafraniNorlys Energy TradingVerifisert e-postadresse på norlysenergytrading.com
Mahmoud Bokhari محمود بخاريTaibah UniversityVerifisert e-postadresse på taibahu.edu.sa
Jakob BossekPaderborn UniversityVerifisert e-postadresse på uni-paderborn.de
Ehsan AbbasnejadAssoc. Prof. Monash UniversityVerifisert e-postadresse på monash.edu
Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyVerifisert e-postadresse på uni-paderborn.de
Davide Astiaso GarciaSapienza University of RomeVerifisert e-postadresse på uniroma1.it
Sergey Polyakovskiy School of Computer Science, The University of AdelaideVerifisert e-postadresse på adelaide.edu.au
Alexander E.I. BrownleeSenior Lecturer, University of Stirling, previously Loughborough, Robert GordonVerifisert e-postadresse på cs.stir.ac.uk
Sam Nallaperuma-HerzbergUniversity of CambridgeVerifisert e-postadresse på cam.ac.uk
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáVerifisert e-postadresse på utfpr.edu.br
Myriam DelgadoFederal University of Technology of ParanáVerifisert e-postadresse på utfpr.edu.br
Aneta NeumannResearcher, The University of Adelaide, AustraliaVerifisert e-postadresse på adelaide.edu.au
Lina Bertling TjernbergProfessor in Power Grid TechnologyVerifisert e-postadresse på kth.se

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Markus Wagner

Associate Professor of Computer Science, Monash University, Australia

Verifisert e-postadresse på monash.edu - Startside

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


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	199	2021
Evolutionary many-objective optimization: A quick-start guide S Chand, M Wagner Surveys in Operations Research and Management Science 20 (2), 35-42, 2015	187	2015
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	156	2020
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	143	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	132	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	129	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	115	2013
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	111	2011
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	105	2018
Metaheuristics “in the large” J Swan, S Adriaensen, AEI Brownlee, K Hammond, CG Johnson, A Kheiri, ... European Journal of Operational Research 297 (2), 393-406, 2022	103	2022
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	99	2013
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	96	2021
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	92	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	89	2018
A fast approximation-guided evolutionary multi-objective algorithm M Wagner, F Neumann Proceedings of the 15th annual conference on genetic and evolutionary …, 2013	88	2013
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	85	2019
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	79	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	72	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	70	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	67	2020

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