Refining Mutation Variants in Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (BIOMA, 2022)

Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming. - Andreas Margraf; Henning Cui; Anthony Stein; Jörg Hähner (ACSOS, 2023)

Weighted Mutation of Connections To Mitigate Search Space Limitations in Cartesian Genetic Programming. - Henning Cui; David Pätzel; Andreas Margraf; Jörg Hähner (FOGA, 2023)

A Concept for Optimizing Motor Control Parameters Using Bayesian Optimization. - Henning Cui; Markus Görlich-Bucher; Lukas Rosenbauer; Jörg Hähner; Daniel Gerber (ICINCO (1), 2023)

Equidistant Reorder Operator for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (IJCCI, 2023)

Towards Understanding Crossover for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Michael Heider; Jörg Hähner (IJCCI, 2023)

Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detection. - Andreas Margraf; Henning Cui; Stefan Baumann; Jörg Hähner (IJCCI, 2023)

Model-Driven Optimisation of Monitoring System Configurations for Batch Production. - Andreas Margraf; Henning Cui; Simon Heimbach; Jörg Hähner; Steffen Geinitz; Stephan Rudolph (MODELSWARD, 2023)

Cartesian Genetic Programming Is Robust Against Redundant Attributes in Datasets. - Henning Cui; Jörg Hähner (IJCCI, 2024)

Positional Bias Does Not Influence Cartesian Genetic Programming with Crossover. - Henning Cui; Michael Heider; Jörg Hähner (PPSN (1), 2024)

Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming. - Henning Cui; Andreas Margraf; Jörg Hähner (CoRR, 2024)

Ant-Based Metaheuristics Struggle to Solve the Cartesian Genetic Programming Learning Task. - Julian Trautwein; Michael Heider; Henning Cui; Jörg Hähner (EuroGP, 2025)

Resource Allocation is All You Need: The Routing and Scheduling Problem in 6TiSCH Networks. - Victor Gerling; Henning Cui; Jörg Hähner; Michael Seufert (WCNC, 2025)