| Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination A Gaier, A Asteroth, JB Mouret Proceedings of the Genetic and Evolutionary Computation Conference, 99-106, 2017 | 151 | 2017 |
| Theoretische Informatik: eine Einführung in Berechenbarkeit, Komplexität und formale Sprachen mit 101 Beispielen A Asteroth, C Baier Pearson Studium, 2002 | 80 | 2002 |
| Measurement, prediction, and control of individual heart rate responses to exercise—Basics and options for wearable devices M Ludwig, K Hoffmann, S Endler, A Asteroth, J Wiemeyer Frontiers in physiology 9, 778, 2018 | 58 | 2018 |
| Discovering representations for black-box optimization A Gaier, A Asteroth, JB Mouret Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 103-111, 2020 | 53 | 2020 |
| 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 | 50 | 2022 |
| Evolving parsimonious networks by mixing activation functions A Hagg, M Mensing, A Asteroth Proceedings of the genetic and evolutionary computation conference, 425-432, 2017 | 42 | 2017 |
| Are quality diversity algorithms better at generating stepping stones than objective-based search? A Gaier, A Asteroth, JB Mouret Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 36 | 2019 |
| Prototype discovery using quality-diversity A Hagg, A Asteroth, T Bäck Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 34 | 2018 |
| Training Plan Evolution based on Training Models D Schaefer, M Ludwig, A Asteroth INISTA'15, International Symposium on Innovations in Intelligent Systems and …, 2015 | 27 | 2015 |
| 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 | 22 | 2020 |
| Data-efficient neuroevolution with kernel-based surrogate models A Gaier, A Asteroth, JB Mouret Proceedings of the genetic and evolutionary computation conference, 85-92, 2018 | 22 | 2018 |
| 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 | 17 | 2021 |
| 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 | 17 | 2015 |
| 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 | 16 | 2017 |
| On modeling the cardiovascular system and predicting the human heart rate under strain M Ludwig, AM Sundaram, M Füller, A Asteroth, E Prassler ICT4AgingWell, International Conference on Information and Communication …, 2015 | 15 | 2015 |
| Model checking with formula-dependent abstract models A Asteroth, C Baier, U A* Bmann Computer Aided Verification: 13th International Conference, CAV 2001 Paris …, 2001 | 10 | 2001 |
| Automating representation discovery with map-elites A Gaier, A Asteroth, JB Mouret arXiv, 2020 | 9 | 2020 |
| Modeling user selection in quality diversity A Hagg, A Asteroth, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 116-124, 2019 | 9 | 2019 |
| 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 | 8 | 2020 |
| Including the past: performance modeling using a preload concept by means of the fitness-fatigue model M Ludwig, A Asteroth, C Rasche, M Pfeiffer International Journal of Computer Science in Sport 18 (1), 115-134, 2019 | 8 | 2019 |
Alexander HaggBonn Rhein Sieg University在 h-brs.de 的电子邮件经过验证
