Takip et
Alexander Hagg
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Artificial intelligence in elite sports—A narrative review of success stories and challenges
F Hammes, A Hagg, A Asteroth, D Link
Frontiers in Sports and Active Living 4, 861466, 2022
502022
Evolving parsimonious networks by mixing activation functions
A Hagg, M Mensing, A Asteroth
Proceedings of the genetic and evolutionary computation conference, 425-432, 2017
442017
Prototype discovery using quality-diversity
A Hagg, A Asteroth, T Bäck
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
352018
Open-source machine learning in computational chemistry
A Hagg, KN Kirschner
Journal of chemical information and modeling 63 (15), 4505-4532, 2023
262023
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
232020
Expressivity of parameterized and data-driven representations in quality diversity search
A Hagg, S Berns, A Asteroth, S Colton, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 678-686, 2021
172021
Multi-stage evolution of single-and multi-objective MCLP: Successive placement of charging stations
H Spieker, A Hagg, A Gaier, S Meilinger, A Asteroth
Soft Computing 21, 4859-4872, 2017
172017
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
172015
On recognizing transparent objects in domestic environments using fusion of multiple sensor modalities
A Hagg, F Hegger, PG Plöger
RoboCup 2016: Robot World Cup XX 20, 3-15, 2017
112017
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
102019
Modeling user selection in quality diversity
A Hagg, A Asteroth, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 116-124, 2019
92019
An analysis of phenotypic diversity in multi-solution optimization
A Hagg, M Preuss, A Asteroth, T Bäck
International Conference on Bioinspired Methods and Their Applications, 43-55, 2020
82020
Phenotypic niching using quality diversity algorithms
A Hagg
Metaheuristics for Finding Multiple Solutions, 287-315, 2021
42021
Künstliche Intelligenz für den Spitzensport im Spannungsfeld zwischen Big und Small Data
A Hagg, A Asteroth, C Rasche, K Bach, M Pfeiffer
32022
Hierarchical surrogate modeling for illumination algorithms
A Hagg
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
32017
Methodische Grundlegung für eine Strategie zum sukzessiven Ausbau der Ladeinfrastruktur für Elektromobilität in Bonn und dem Rhein-Sieg-Kreis: Studie zur Strategie für den …
A Hagg, H Spieker, A Oslislo, V Jacobs, A Asteroth, S Meilinger
32015
The b-it-bots Robo-Cup@ Home 2014 Team Description Paper
R Dwiputra, M Füller, F Hegger, S Schneider, N Hochgeschwender, ...
Joao Pessoa, Brazil, 2014
32014
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization
M Müller, A Hagg, R Strickstrock, M Hülsmann, A Asteroth, ...
Journal of chemical information and modeling 63 (7), 1872-1881, 2023
22023
Discovering the preference hypervolume: an interactive model for real world computational co-creativity
A Hagg
Leiden Institute of Advanced Computer Science, Faculty of Science, Leiden …, 2021
22021
A Deep Dive Into Exploring the Preference Hypervolume
A Hagg, A Asteroth, T Bäck
International Conference on Computational Creativity, 394-397, 2020
22020
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