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Genetic Programming

25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Eric Medvet

    1. University of Trieste, Trieste, Italy

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  2. Gisele Pappa

    1. Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  3. Bing Xue

    1. Victoria University of Wellington, Wellington, New Zealand

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13223)

Included in the following conference series:

Conference proceedings info: EuroGP 2022.

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Table of contents (19 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Long Presentations

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Evolving Adaptive Neural Network Optimizers for Image Classification

      • Pedro Carvalho, Nuno Lourenço, Penousal Machado
      Pages 3-18

    3. Combining Geometric Semantic GP with Gradient-Descent Optimization

      • Gloria Pietropolli, Luca Manzoni, Alessia Paoletti, Mauro Castelli
      Pages 19-33

    4. One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems

      • Patrick Indri, Alberto Bartoli, Eric Medvet, Laura Nenzi
      Pages 34-50

    5. Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression

      • Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang
      Pages 51-67

    6. SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

      • Nuno M. Rodrigues, João E. Batista, William La Cava, Leonardo Vanneschi, Sara Silva
      Pages 68-84

    7. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers

      • Martin Hurta, Michaela Drahosova, Lukas Sekanina, Stephen L. Smith, Jane E. Alty
      Pages 85-101

    8. Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search

      • David Wittenberg
      Pages 102-117

    9. Program Synthesis with Genetic Programming: The Influence of Batch Sizes

      • Dominik Sobania, Franz Rothlauf
      Pages 118-129

    10. Genetic Programming-Based Inverse Kinematics for Robotic Manipulators

      • Julia Reuter, Christoph Steup, Sanaz Mostaghim
      Pages 130-145

    11. On the Schedule for Morphological Development of Evolved Modular Soft Robots

      • Giorgia Nadizar, Eric Medvet, Karine Miras
      Pages 146-161

    12. An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling

      • Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang
      Pages 162-178

    13. Cooperative Co-evolution and Adaptive Team Composition for a Multi-rover Resource Allocation Problem

      • Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredeche
      Pages 179-193

  3. Short Presentations

    1. Front Matter

      Pages 195-195
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    2. Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking

      • Sabrina Tseng, Erik Hemberg, Una-May O’Reilly
      Pages 197-211

    3. Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites

      • Kyle Nickerson, Antonina Kolokolova, Ting Hu
      Pages 212-227

    4. Evolving Monotone Conjunctions in Regimes Beyond Proved Convergence

      • Pantia-Marina Alchirch, Dimitrios I. Diochnos, Katia Papakonstantinopoulou
      Pages 228-244

    5. Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems

      • Romain Orhand, Anne Jeannin-Girardon, Pierre Parrend, Pierre Collet
      Pages 245-261

    6. Exploiting Knowledge from Code to Guide Program Search

      • Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O’Reilly
      Pages 262-277
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Other volumes

  1. Genetic Programming

Keywords

About this book

This book constitutes the refereed proceedings of the 25th European Conference on Genetic Programming, EuroGP 2022, held as part of Evo*2021, as Virtual Event, in April 2022, co-located with the Evo*2022 events, EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 35 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new operators for variants of GP algorithms, as well as exploring GP applications to the optimization of machine learning methods and the evolution of complex combinational logic circuits.

 

Editors and Affiliations

  • University of Trieste, Trieste, Italy

    Eric Medvet

  • Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

    Gisele Pappa

  • Victoria University of Wellington, Wellington, New Zealand

    Bing Xue

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