引用次数
引用: 236
H-指数: 9
I10-指数 : 9
出版物: 89
Hierarchical Surrogate Modeling for Illumination Algorithms
Alexander Hagg
arXiv: Neural and Evolutionary Computing
2017
Evolving Parsimonious Networks by Mixing Activation Functions
Alexander Asteroth , Alexander Hagg , Maximilian Mensing
arXiv: Neural and Evolutionary Computing
28
2017
A Deep Dive Into Exploring the Preference Hypervolume.
Alexander Hagg , Alexander Asteroth , Thomas Bäck
ICCC 394 -397
2
2020
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search.
Thomas Bäck , Simon Colton , Alexander Asteroth , Alexander Hagg
arXiv: Learning
2021
Successive evolution of charging station placement
Helge Spieker , Alexander Hagg , Alexander Asteroth , Stefanie Meilinger
international symposium on innovations in intelligent systems and applications 1 -7
2
2015
How to successfully apply genetic algorithms in practice: Representation and parametrization
Alexander Asteroth , Alexander Hagg
international symposium on innovations in intelligent systems and applications 1 -6
6
2015
Designing Air Flow with Surrogate-assisted Phenotypic Niching
Alexander Hagg , Dominik Wilde , Alexander Asteroth , Thomas Bäck
parallel problem solving from nature 140 -153
2020
Prediction of neural network performance by phenotypic modeling
Alexander Hagg , Martin Zaefferer , Jörg Stork , Adam Gaier
arXiv: Neural and Evolutionary Computing
1
2019
Modeling user selection in quality diversity
Alexander Hagg , Alexander Asteroth , Thomas Bäck
genetic and evolutionary computation conference 116 -124
1
2019
Prototype Discovery using Quality-Diversity
Alexander Hagg , Alexander Asteroth , Thomas Bäck
parallel problem solving from nature 500 -511
10
2018
Artificial intelligence in elite sports—A narrative review of success stories and challenges
Fabian Hammes , Alexander Hagg , Alexander Asteroth , Daniel Link
Frontiers in Sports and Active Living 4 861466
2
2022
Phenotypic niching using quality diversity algorithms
Alexander Hagg
Metaheuristics for Finding Multiple Solutions 287 -315
2
2021
The b-it-bots Robo-Cup@ Home 2014 Team Description Paper
Rhama Dwiputra , Matthias Füller , Frederik Hegger , Sven Schneider
Joao Pessoa, Brazil
3
2014
The b-it-bots RoCKIn@ Work 2014 Team Description Paper
Rhama Dwiputra , Matthias Füller , Frederik Hegger , Sven Schneider
Multi-stage evolution of single-and multi-objective MCLP: Successive placement of charging stations
Helge Spieker , Alexander Hagg , Adam Gaier , Stefanie Meilinger
Soft Computing 21 4859 -4872
14
2017
Methodische Grundlegung für eine Strategie zum sukzessiven Ausbau der Ladeinfrastruktur für Elektromobilität in Bonn und dem Rhein-Sieg-Kreis: Studie zur Strategie für den Ausbau der Ladeinfrastruktur im Hinblick auf E-Autos und E-Zweiräder
Alexander Hagg , Helge Spieker , Alexander Oslislo , Volker Jacobs
3
2015
On recognizing transparent objects in domestic environments using fusion of multiple sensor modalities
Alexander Hagg , Frederik Hegger , Paul G Plöger
RoboCup 2016: Robot World Cup XX 20 3 -15
10
2017
Open-source machine learning in computational chemistry
Alexander Hagg , Karl N Kirschner
Journal of Chemical Information and Modeling 63 ( 15) 4505 -4532
14
2023
Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization
Max Müller , Alexander Hagg , Robin Strickstrock , Marco Hülsmann
Journal of Chemical Information and Modeling 63 ( 7) 1872 -1881
1
2023
Fine-Tuning Property Domain Weighting Factors and the Objective Function in Force Field Parameter Optimization
Robin Strickstrock , Alexander Hagg , Marco Hülsmann , Karl Kirschner
2024