Markus Wagner

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	3694	2816
h-индекс	36	32
i10-индекс	87	78

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20092010201120122013201420152016201720182019202020212022202313 7 15 29 79 109 163 179 257 306 362 538 613 722 270

Публичен достъп

Преглед на всички

62 статии

2 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Frank NeumannOptimisation and Logistics, School of ComputerПотвърден имейл адрес: adelaide.edu.au
Brad AlexanderSchool of Computer Science, University of AdelaideПотвърден имейл адрес: cs.adelaide.edu.au
Mehdi NeshatPostdoctoral research associate, University of South AustraliaПотвърден имейл адрес: unisa.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyПотвърден имейл адрес: hpi.de
Nataliia Y. SergiienkoSenior Lecturer, University of AdelaideПотвърден имейл адрес: adelaide.edu.au
Christoph TreudeSenior Lecturer in Software Engineering, Computing and Information Systems, University of MelbourneПотвърден имейл адрес: unimelb.edu.au
Marcella Scoczynski Ribeiro MartinsPhD at Federal University of Technology - Parana UTFPRПотвърден имейл адрес: utfpr.edu.br
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FranceПотвърден имейл адрес: mpi-inf.mpg.de
Mahmoud Bokhari محمود بخاريTaibah UniversityПотвърден имейл адрес: taibahu.edu.sa
Mohamed El YafraniAalborg UniversityПотвърден имейл адрес: mp.aau.dk
Jakob BossekRWTH Aachen UniversityПотвърден имейл адрес: aim.rwth-aachen.de
Sam NallaperumaUniversity of CambridgeПотвърден имейл адрес: cam.ac.uk
Sergey Polyakovskiy School of Computer Science, The University of AdelaideПотвърден имейл адрес: adelaide.edu.au
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsПотвърден имейл адрес: wi.uni-muenster.de
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideПотвърден имейл адрес: adelaide.edu.au
Shelvin ChandDominosПотвърден имейл адрес: dominos.com.au
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáПотвърден имейл адрес: utfpr.edu.br
Myriam DelgadoFederal University of Technology of ParanáПотвърден имейл адрес: utfpr.edu.br
Davide Astiaso GarciaDIAEE - Sapienza University of RomeПотвърден имейл адрес: uniroma1.it
Aneta NeumannResearcher, The University of Adelaide, AustraliaПотвърден имейл адрес: adelaide.edu.au

Следене

Markus Wagner

Associate Professor of Computer Science, Monash University, Australia

Потвърден имейл адрес: monash.edu - Начална страница

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


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Evolutionary many-objective optimization: A quick-start guide S Chand, M Wagner Surveys in Operations Research and Management Science 20 (2), 35-42, 2015	152	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	120	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	118	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	104	2015
Approximation-guided evolutionary multi-objective optimization K Bringmann, T Friedrich, F Neumann, M Wagner IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	100	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	95	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	92	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	89	2021
A fast approximation-guided evolutionary multi-objective algorithm M Wagner, F Neumann Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	83	2013
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	80	2020
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	79	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	70	2018
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	68	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	65	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	65	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	63	2011
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	57	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	55	2019
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	53	2020
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements M Neshat, B Alexander, M Wagner, Y Xia Proceedings of the Genetic and Evolutionary Computation Conference, 1318-1325, 2018	50	2018

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