Markus Wagner

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Frank NeumannOptimisation and Logistics, School of ComputerPotvrđena adresa e-pošte na adelaide.edu.au
Brad AlexanderSchool of Computer Science, University of AdelaidePotvrđena adresa e-pošte na cs.adelaide.edu.au
Mehdi NeshatPostdoctoral research associate, University of South AustraliaPotvrđena adresa e-pošte na unisa.edu.au
Tobias FriedrichChair for Algorithm Engineering, Hasso Plattner Institute, Potsdam, GermanyPotvrđena adresa e-pošte na hpi.de
Nataliia Y. SergiienkoSenior Lecturer, University of AdelaidePotvrđena adresa e-pošte na adelaide.edu.au
Marcella Scoczynski Ribeiro MartinsPhD at Federal University of Technology - Parana UTFPRPotvrđena adresa e-pošte na utfpr.edu.br
Carola DoerrCNRS research director (DR) at Sorbonne Université, Paris, FrancePotvrđena adresa e-pošte na mpi-inf.mpg.de
Christoph TreudeSenior Lecturer in Software Engineering, Computing and Information Systems, University of MelbournePotvrđena adresa e-pošte na unimelb.edu.au
Mahmoud Bokhari محمود بخاريTaibah UniversityPotvrđena adresa e-pošte na taibahu.edu.sa
Mohamed El YafraniAalborg UniversityPotvrđena adresa e-pošte na mp.aau.dk
Jakob BossekRWTH Aachen UniversityPotvrđena adresa e-pošte na aim.rwth-aachen.de
Sam NallaperumaUniversity of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Sergey Polyakovskiy School of Computer Science, The University of AdelaidePotvrđena adresa e-pošte na adelaide.edu.au
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsPotvrđena adresa e-pošte na wi.uni-muenster.de
Shelvin ChandDominosPotvrđena adresa e-pošte na dominos.com.au
Ricardo LüdersProfessor Titular, DAINF/CPGEI, Universidade Tecnológica Federal do ParanáPotvrđena adresa e-pošte na utfpr.edu.br
Myriam DelgadoFederal University of Technology of ParanáPotvrđena adresa e-pošte na utfpr.edu.br
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaidePotvrđena adresa e-pošte na adelaide.edu.au
Davide Astiaso GarciaDIAEE - Sapienza University of RomePotvrđena adresa e-pošte na uniroma1.it
Meysam Majidi NezhadPh.D. / Eng.Potvrđena adresa e-pošte na uniroma1.it

Prati

Markus Wagner

Associate Professor of Computer Science, Monash University, Australia

Potvrđena adresa e-pošte na adelaide.edu.au - Početna stranica

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


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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
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
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	61	2020
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
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
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	47	2013

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