Kamu erişimi zorunlu olan makaleler - Alexander HaggDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 2
Phenotypic niching using quality diversity algorithms
A Hagg
Metaheuristics for Finding Multiple Solutions, 287-315, 2021
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
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
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
Bir yerde sunuluyor: 11
Evolving parsimonious networks by mixing activation functions
A Hagg, M Mensing, A Asteroth
Proceedings of the genetic and evolutionary computation conference, 425-432, 2017
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
Prototype discovery using quality-diversity
A Hagg, A Asteroth, T Bäck
Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
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
Zorunlu olanlar: German Research Foundation
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
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Modeling user selection in quality diversity
A Hagg, A Asteroth, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 116-124, 2019
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
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
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
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
Zorunlu olanlar: Fraunhofer-Gesellschaft
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
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization
A Hagg, ML Kliemank, A Asteroth, D Wilde, MC Bedrunka, H Foysi, ...
Evolutionary computation 31 (3), 287-307, 2023
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
On the Suitability of Representations for Quality Diversity Optimization of Shapes
L Scarton, A Hagg
Proceedings of the Genetic and Evolutionary Computation Conference, 963-971, 2023
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
Fine-Tuning Property Domain Weighting Factors and the Objective Function in Force Field Parameter Optimization
R Strickstrock, A Hagg, M Hülsmann, K Kirschner, D Reith
Zorunlu olanlar: Federal Ministry of Education and Research, Germany
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