Alexander Hagg
Alexander Hagg
Bonn Rhine Sieg University
Verified email at h-brs.de - Homepage
Title
Cited by
Cited by
Year
How to successfully apply genetic algorithms in practice: Representation and parametrization
A Asteroth, A Hagg
2015 International Symposium on Innovations in Intelligent SysTems and …, 2015
142015
Evolving parsimonious networks by mixing activation functions
A Hagg, M Mensing, A Asteroth
Proceedings of the Genetic and Evolutionary Computation Conference, 425-432, 2017
112017
Prototype discovery using quality-diversity
A Hagg, A Asteroth, T Bäck
International Conference on Parallel Problem Solving from Nature, 500-511, 2018
82018
On recognizing transparent objects in domestic environments using fusion of multiple sensor modalities
A Hagg, F Hegger, PG Plöger
Robot World Cup, 3-15, 2016
72016
Multi-stage evolution of single-and multi-objective MCLP
H Spieker, A Hagg, A Gaier, S Meilinger, A Asteroth
Soft Computing 21 (17), 4859-4872, 2017
42017
The b-it-bots robocup@ home 2014 team description paper
R Dwiputra, M Füller, F Hegger, S Schneider, N Hochgeschwender, ...
RoboCup, João Pessoa, Brazil, 1-6, 2014
32014
Modeling user selection in quality diversity
A Hagg, A Asteroth, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 116-124, 2019
22019
Successive evolution of charging station placement
H Spieker, A Hagg, A Asteroth, S Meilinger, V Jacobs, A Oslislo
2015 International Symposium on Innovations in Intelligent SysTems and …, 2015
22015
Prediction of neural network performance by phenotypic modeling
A Hagg, M Zaefferer, J Stork, A Gaier
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
12019
Methodische Grundlegung für eine Strategie zum sukzessiven Ausbau der Ladeinfrastruktur für Elektromobilität in Bonn und dem Rhein-Sieg-Kreis
A Hagg, H Spieker, A Oslislo, V Jacobs, A Asteroth, S Meilinger
12015
Designing Air Flow with Surrogate-Assisted Phenotypic Niching
A Hagg, D Wilde, A Asteroth, T Bäck
International Conference on Parallel Problem Solving from Nature, 140-153, 2020
2020
An Analysis of Phenotypic Diversity in Multi-Solution Optimization
A Hagg, M Preuss, A Asteroth, T Bäck
EasyChair, 2020
2020
AErOmAt Abschlussbericht
A Asteroth, A Hagg, J Meng, A Priesnitz, L Prochnau, D Reith
Hochschule Bonn-Rhein-Sieg, 2020
2020
Hierarchical surrogate modeling for illumination algorithms
A Hagg
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
2017
The b-it-bots RoCKIn@ Work 2014 Team Description Paper
R Dwiputra, M Füller, F Hegger, S Schneider, N Hochgeschwender, ...
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