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Lehrstuhl für Organic Computing

  1. 伟德国际_伟德国际1946$娱乐app游戏
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
  5. Chairs and Professors
  6. Organic Computing Group
  7. Team
  8. Henning Cui

Henning Cui

Research Assistant
Lehrstuhl für Organic Computing
Phone: +49 821 598 - 69255
Email:
Room: 2043 (W)
Address: Am Technologiezentrum 8, 86159 Augsburg

Forschungsschwerpunkte

Momentan besch?ftige ich mich haupts?chlich mit Cartesian Genetic Programming (CGP), eine Art der Genetischen Programmierung. Die grobe Idee ist es, ein Programm mithilfe einer Graphenstruktur darzustellen. Mithilfe genetischer Algorithmen kann sich diese Graphenstruktur selbstst?ndig ver?ndern, um sich an das aktuelle Ziel anzupassen. Somit wird eine L?sung in Form von Operatorketten generiert.

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Ziel ist es momentan, CGPs m?gliche Anwendungsgebiete sowie dessen Performanz und Leistung zu verbessern.

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Lehrveranstaltungen

(applied filters: semester: current | institute: Organic Computing | lecturers: Henning Cui | course types: Mentoring, Vorlesung, Vorlesung + ?bung, Pflichtvorlesung, Anmeldung, ?bung, Begleitübung, Tutorium, Seminar, Pflichtseminar, Proseminar, Proseminar mit ?bung, Hauptseminar, Hauptseminar mit ?bung, Oberseminar, Einführungskurs, Einführungskurs mit ?bung, Grundkurs, Hauptkurs, Examenskurs, Kernkurs, Kurs, Wahlpflichtveranstaltung, Kolloquium, Forschungsgruppe, Praktikum, Begleitveranstaltung zum Praktikum, Exkursion, Arbeitsgemeinschaft, ProfiLehre, sonstige, ProfiLehre a, ProfiLehre b, ProfiLehre c, ProfiLehre d, ProfiLehre e, Projektseminar, Fallbesprechung, Projektstudium, Projekt, Unterricht am Patienten, Blockpraktikum, Hospitation)
name semester type
Seminar Organic Computing (Bachelor) winter semester 2024/25 Seminar
Studentische Arbeiten am Lehrstuhl Organic Computing winter semester 2024/25 sonstige
Seminar Organic Computing (Master) winter semester 2024/25 Seminar

Lebenslauf

seit 2022 Wissenschaftlicher Mitarbeiter am Lehrstuhl
2019 - 2021 Master-Studium im Fach Informatik und Multimedia? an der Universit?t Augsburg
2017 - 2021 Wiss. Hilfskraft an diversen Lehrstühlen
2018 - 2020 Vorstand von Augsburger Studierendenvereinigung für angewandte Informatik e.V
2016 - 2019 Bachelor-Studium im Fach Informatik und Multimedia an der Universit?t Augsburg

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Publikationen

2024 | 2023 | 2022

2024

Henning Cui, Andreas Margraf and J?rg H?hner. in press. Analysing the influence of reorder strategies for Cartesian Genetic Programming. preprint. DOI: 10.48550/arXiv.2410.00518
BibTeX | RIS | DOI | URL

Henning Cui, Michael Heider and J?rg H?hner. 2024. Positional bias does not influence Cartesian Genetic Programming with crossover. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tu?ar, Penousal Machado, Thomas B?ck (Eds.). Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, proceedings, part I. Springer, Cham, 151-167 DOI: 10.1007/978-3-031-70055-2_10
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2023

Henning Cui, Markus G?rlich-Bucher, Lukas Rosenbauer, J?rg H?hner and Daniel Gerber. 2023. A concept for optimizing motor control parameters using Bayesian optimization. In Giuseppina Gini, Henk Nijmeijer, Dimitar Filev (Eds.). Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - ICINCO, November 13-15, 2023, in Rome, Italy, Volume 1. SciTePress, Setúbal, 107-114 DOI: 10.5220/0012093700003543
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Henning Cui, Andreas Margraf and J?rg H?hner. 2023. Equidistant Reorder operator for Cartesian Genetic Programming. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 64-74 DOI: 10.5220/0012174100003595
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Andreas Margraf, Henning Cui, Anthony Stein and J?rg H?hner. 2023. Evolving processing pipelines for industrial imaging with Cartesian Genetic Programming. In Peter Lewis, Marin Litoiu, Ivana Dusparic, Barry Porter, Norha M. Villegas (Eds.). 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 25-29 September 2023, Toronto, ON, Canada. IEEE, Piscataway, NJ, 133-138 DOI: 10.1109/ACSOS58161.2023.00031
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Andreas Margraf, Henning Cui, Stefan Baumann and J?rg H?hner. 2023. Filter evolution using Cartesian genetic programming for time series anomaly detection. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 300-307 DOI: 10.5220/0012210700003595
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Andreas Margraf, Henning Cui, Simon Heimbach, J?rg H?hner, Steffen Geinitz and Stephan Rudolph. 2023. Model-driven optimisation of monitoring system configurations for batch production. In Francisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz (Eds.). Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering MODELSWARD 2023, February 19-21, 2023, in Lisbon, Portugal. SciTePress, Setúbal, 176-183 DOI: 10.5220/0011688900003402
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Henning Cui, Andreas Margraf, Michael Heider and J?rg H?hner. 2023. Towards understanding crossover for Cartesian Genetic Programming. In Niki van Stein, Francesco Marcelloni, H. K. Lam, Marie Cottrell, Joaquim Filipe (Eds.). Proceedings of the 15th International Joint Conference on Computational Intelligence - ECTA, November 13-15, 2023, in Rome, Italy. SciTePress, Setúbal, 308-314 DOI: 10.5220/0012231400003595
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Henning Cui, David P?tzel, Andreas Margraf and J?rg H?hner. 2023. Weighted mutation of connections to mitigate search space limitations in Cartesian Genetic Programming. In FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 30 August - 1 September 2023, Potsdam, Germany. Association for Computing Machinery, New York, NY, 50-60 DOI: 10.1145/3594805.3607130
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2022

Henning Cui, Andreas Margraf and J?rg H?hner. 2022. Refining mutation variants in?Cartesian genetic programming. Lecture Notes in Computer Science 13627, 185-200. DOI: 10.1007/978-3-031-21094-5_14
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