Titlebook: Genetic Programming; 25th European Confer Eric Medvet,Gisele Pappa,Bing Xue Conference proceedings 2022 The Editor(s) (if applicable) and T

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Jochen Peter Breuer,Pierre Frotove the qualities of the generated programs, e.g., readability and performance. Here we focus on program search with grammatical evolution, which produces code that has different structure compared to human-generated code, e.g., loops and conditions are hardly used. We use a large code-corpus that w

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https://doi.org/10.1007/978-3-031-02056-8artificial intelligence; computer programming; computer systems; correlation analysis; distributed compu

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Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence under a specific set of Bernoulli . distributions. A natural question is whether this mutation mechanism allows convergence under other distributions as well. Our experiments indicate that the answer to this question is affirmative and, at the very least, this mechanism converges under Bernoulli . distributions outside of the known proved regime.

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978-3-031-02055-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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One-Shot Learning of?Ensembles of?Temporal Logic Formulas for?Anomaly Detection in?Cyber-Physical Syy sensors and actuators of a CPS can be monitored for detecting cyber-attacks that introduce anomalies in those data. We use Signal Temporal Logic (STL) formulas to tightly describe the normal behavior of a CPS, identifying data instances that do not satisfy the formulas as anomalies. We learn an en

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Multi-objective Genetic Programming with?the?Adaptive Weighted Splines Representation for?Symbolic Rnto unseen data. To address this issue, many pieces of research have been devoted to controlling the model complexity of GP. One recent work aims to control model complexity using a new representation called Adaptive Weighted Splines. With its semi-structured characteristic, the Adaptive Weighted Sp