Genetic Programming

.- Long Presentation
.- On the Effects of Down-Sampling for Tournament and Lexicase Selection in Program Synthesis.
.- Comparison of Parent and Environmental Selection Schemes in Genetic Programming.
.- A Comparative Study on Robustness in Evolved Image Classifiers.
.- Syntactic Flexibility Enables Compact Solutions in Transformer Semantic GP.
.- Node Preservation and Its Effect on Crossover in Cartesian Genetic Programming.
.- New Perspectives on Cartesian Genetic Programming: A Survey.
.- Semantic Search Trajectory Networks for Understanding Genetic Programming.
.- A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies.
.- Sinking the Bloat in Genetic Programming Using Equality Saturation.
.- Revisiting SLIM: Improved Learning Dynamics and Model Compactness in Symbolic Regression.
.- Dynamic Vector and Matrix Memory for Tangled Program Graphs.
.- Extending Model Selection Criteria with Extrapolation and Sensitivity Penalties for Symbolic Regression.
.- Short Presentation
.- Optimal Mixing in Graph-Based GP for Control: Genotypical Dependencies Are Hardly Captured.
.- Multi-tree Genetic Programming with Semantic Complementarity for Feature Construction in Symbolic Regression.
.- NEVO-GSPT: Population-Based Neural Network Evolution Using Inflate and Deflate Operators.
.- Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control.
.- Reducing Computational Overhead in Biomedical Image Segmentation via Active Learning and PCA-Based Diversity Filtering in CGP.
.- Using Monte Carlo Tree Search to Enhance Search Space Exploration in Cartesian Genetic Programming.
.- Extended Semantics Operator for Genetic Programming: A Semantic-Density Approach to Improve Model Robustness.

• Erscheinungsdatum: 27.04.2026
• Autor/Autorin: Luca Manzoni
• Reihe: Springer Nature Proceedings Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 57.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 322 Seiten
• ISBN: 9783032230058
• Lieferung: Sofort per Download
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