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ORCID25th EuroGP 2022: Madrid, Spain
- Eric Medvet
, Gisele L. Pappa, Bing Xue:
Genetic Programming - 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13223, Springer 2022, ISBN 978-3-031-02055-1
Long Presentations
- Pedro Carvalho, Nuno Lourenço, Penousal Machado:
Evolving Adaptive Neural Network Optimizers for Image Classification. 3-18 - Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli:
Combining Geometric Semantic GP with Gradient-Descent Optimization. 19-33 - Patrick Indri, Alberto Bartoli, Eric Medvet, Laura Nenzi:
One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems. 34-50 - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. 51-67 - Nuno M. Rodrigues, João E. Batista, William G. La Cava, Leonardo Vanneschi, Sara Silva:
SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. 68-84 - Martin Hurta, Michaela Drahosova, Lukás Sekanina, Stephen L. Smith, Jane E. Alty:
Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. 85-101 - David Wittenberg:
Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search. 102-117 - Dominik Sobania, Franz Rothlauf:
Program Synthesis with Genetic Programming: The Influence of Batch Sizes. 118-129 - Julia Reuter, Christoph Steup, Sanaz Mostaghim:
Genetic Programming-Based Inverse Kinematics for Robotic Manipulators. 130-145 - Giorgia Nadizar, Eric Medvet, Karine Miras:
On the Schedule for Morphological Development of Evolved Modular Soft Robots. 146-161 - Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. 162-178 - Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredèche:
Cooperative Co-evolution and Adaptive Team Composition for a Multi-rover Resource Allocation Problem. 179-193
Short Presentations
- Sabrina Tseng, Erik Hemberg, Una-May O'Reilly:
Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. 197-211 - Kyle L. Nickerson, Antonina Kolokolova, Ting Hu:
Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites. 212-227 - Pantia-Marina Alchirch, Dimitrios I. Diochnos, Katia Papakonstantinopoulou:
Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence. 228-244 - Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet:
Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems. 245-261 - Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly:
Exploiting Knowledge from Code to Guide Program Search. 262-277 - Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer:
Multi-objective Genetic Programming for Explainable Reinforcement Learning. 278-293 - Ryan Zhou, Christian Muise, Ting Hu:
Permutation-Invariant Representation of Neural Networks with Neuron Embeddings. 294-308
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