Topics to be covered include, but is not limited to:

    Algorithms, representations, and operators for GP
    Innovative applications of GP
    Tree-based, linear, graph-based, and grammar-based GP
    Theoretical developments
    GP performance, behavior, and benchmarking
    Multiple populations, coevolution, and modularity in GP
    Multi-objective GP
    Explainability and interpretability in GP
    Genetic improvement programming
    GP for software engineering
    GP for continuous control and evolutionary robotics
    Evolutionary design
    Evolvable hardware
    Parallel GP
    Unconventional GP
    Hybridization of GP with other methods