Published in Arxiv, 2024
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Recommended citation: Robin Strickstrock, Alexander Hagg, Marco H{\"u}lsmann, Karl Kirschner, Dirk Reith, "Fine-Tuning Property Domain Weighting Factors and the Objective Function in Force Field Parameter Optimization." Arxiv, 2024.
Published in Journal of chemical information and modeling, 2023
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Recommended citation: Alexander Hagg, Karl Kirschner, "Open-source machine learning in computational chemistry." Journal of chemical information and modeling, 2023.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2023
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Recommended citation: Ludovico Scarton, Alexander Hagg, "On the Suitability of Representations for Quality Diversity Optimization of Shapes." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2023.
Published in Evolutionary computation, 2023
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Recommended citation: Alexander Hagg, Martin Kliemank, Alexander Asteroth, Dominik Wilde, Mario Bedrunka, Holger Foysi, Dirk Reith, "Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-optimization." Evolutionary computation, 2023.
Published in Journal of chemical information and modeling, 2023
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Recommended citation: Max Müller, Alexander Hagg, Robin Strickstrock, Marco Hülsmann, Alexander Asteroth, Karl Kirschner, Dirk Reith, "Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization." Journal of chemical information and modeling, 2023.
Published in In the proceedings of Hochschule Bonn-Rhein-Sieg, 2022
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Recommended citation: Alexander Hagg, Alexander Asteroth, Christian Rasche, Kevin Bach, Mark Pfeiffer, "K"unstliche Intelligenz f"ur den Spitzensport im Spannungsfeld zwischen Big und Small Data." In the proceedings of Hochschule Bonn-Rhein-Sieg, 2022.
Published in Frontiers in Sports and Active Living, 2022
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Recommended citation: Fabian Hammes, Alexander Hagg, Alexander Asteroth, Daniel Link, "Artificial intelligence in elite sports—A narrative review of success stories and challenges." Frontiers in Sports and Active Living, 2022.
Published in Metaheuristics for Finding Multiple Solutions, 2021
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Recommended citation: Alexander Hagg, "Phenotypic niching using quality diversity algorithms." Metaheuristics for Finding Multiple Solutions, 2021.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2021
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Recommended citation: Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas B{\"a}ck, "Expressivity of parameterized and data-driven representations in quality diversity search." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2021.
Published in In the proceedings of Dissertation, 2021
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Recommended citation: Alexander Hagg, "Discovering the preference hypervolume: an interactive model for real world computational co-creativity." In the proceedings of Dissertation, 2021.
Published in spinfortec 2020 digital, 2020
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Recommended citation: Alexander Hagg, Alexander Asteroth, Mark Pfeiffer, Fabian Hammes, Daniel Link, "Einsatzm"oglichkeiten und Transfer von K"unstlicher Intelligenz im inter-nationalen Spitzensport--zwischen Small und Big Data." spinfortec 2020 digital, 2020.
Published in spinfortec 2020 digital, 2020
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Recommended citation: Fabian Hammes, Daniel Link, Martin Lames, Alexander Hagg, Alexander Asteroth, Mark Pfeiffer, "Einsatz von K"unstlicher Intelligenz im internationalen Spitzensport--Eine Erhebung des Status Quo." spinfortec 2020 digital, 2020.
Published in In the proceedings of International Conference on Parallel Problem Solving from Nature, 2020
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Recommended citation: Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas B{\"a}ck, "Designing air flow with surrogate-assisted phenotypic niching." In the proceedings of International Conference on Parallel Problem Solving from Nature, 2020.
Published in In the proceedings of International Conference on Bioinspired Methods and Their Applications, 2020
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Recommended citation: Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas B{\"a}ck, "An analysis of phenotypic diversity in multi-solution optimization." In the proceedings of International Conference on Bioinspired Methods and Their Applications, 2020.
Published in In the proceedings of Hochschule Bonn-Rhein-Sieg, 2020
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Recommended citation: Alexander Asteroth, "AErOmAt Abschlussbericht." In the proceedings of Hochschule Bonn-Rhein-Sieg, 2020.
Published in In the proceedings of International Conference on Computational Creativity, 2020
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Recommended citation: Alexander Hagg, Alexander Asteroth, Thomas B{\"a}ck, "A Deep Dive Into Exploring the Preference Hypervolume." In the proceedings of International Conference on Computational Creativity, 2020.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
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Recommended citation: Alexander Hagg, Martin Zaefferer, J{\"o}rg Stork, Adam Gaier, "Prediction of neural network performance by phenotypic modeling." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2019
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Recommended citation: Alexander Hagg, Alexander Asteroth, Thomas B{\"a}ck, "Modeling user selection in quality diversity." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2019.
Published in In the proceedings of Parallel Problem Solving from Nature--PPSN XV: 15th International Conference, Coimbra, Portugal, September 8--12, 2018, Proceedings, Part I 15, 2018
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Recommended citation: Alexander Hagg, Alexander Asteroth, Thomas B{\"a}ck, "Prototype discovery using quality-diversity." In the proceedings of Parallel Problem Solving from Nature--PPSN XV: 15th International Conference, Coimbra, Portugal, September 8--12, 2018, Proceedings, Part I 15, 2018.
Published in In the proceedings of RoboCup 2016: Robot World Cup XX 20, 2017
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Recommended citation: Alexander Hagg, Frederik Hegger, Paul Pl{\"o}ger, "On recognizing transparent objects in domestic environments using fusion of multiple sensor modalities." In the proceedings of RoboCup 2016: Robot World Cup XX 20, 2017.
Published in Soft Computing, 2017
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Recommended citation: Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, Alexander Asteroth, "Multi-stage evolution of single-and multi-objective MCLP: Successive placement of charging stations." Soft Computing, 2017.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
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Recommended citation: Alexander Hagg, "Hierarchical surrogate modeling for illumination algorithms." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017.
Published in In the proceedings of Proceedings of the genetic and evolutionary computation conference, 2017
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Recommended citation: Alexander Hagg, Maximilian Mensing, Alexander Asteroth, "Evolving parsimonious networks by mixing activation functions." In the proceedings of Proceedings of the genetic and evolutionary computation conference, 2017.
Published in In the proceedings of 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), 2015
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Recommended citation: Helge Spieker, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, Alexander Oslislo, "Successive evolution of charging station placement." In the proceedings of 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), 2015.
Published in In the proceedings of 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), 2015
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Recommended citation: Alexander Asteroth, Alexander Hagg, "How to successfully apply genetic algorithms in practice: Representation and parametrization." In the proceedings of 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), 2015.
Published in Joao Pessoa, Brazil, 2014
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Recommended citation: Rhama Dwiputra, Matthias F{\"u}ller, Frederik Hegger, Sven Schneider, Nico Hochgeschwender, Iman Awaad, Jos{\'e} Loza, Alexey Ozhigov, Saugata Biswas, Niranjan Deshpande, "The b-it-bots Robo-Cup@ Home 2014 Team Description Paper." Joao Pessoa, Brazil, 2014.