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  • Conference proceedings
  • © 2017

Genetic Programming

20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings

Editors:

  1. James McDermott

    1. University College Dublin , Dublin, Ireland

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  2. Mauro Castelli

    1. Universidade Nova de Lisboa , Lisbon, Portugal

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  3. Lukas Sekanina

    1. Brno University of Technology , Brno, Czech Republic

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  4. Evert Haasdijk

    1. Vrije Universiteit Amsterdam , Amsterdam, The Netherlands

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  5. Pablo García-Sánchez

    1. University of Cádiz , Cádiz, Spain

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Part of the book series: Theoretical Computer Science and General Issues (LNTCS, volume 10196)

Conference series link(s): EuroGP: European Conference on Genetic Programming (Part of EvoStar)

Conference proceedings info: EuroGP 2017.

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eBook USD 59.99
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  • ISBN: 978-3-319-55696-3
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Table of contents (22 papers)

  1. Front Matter

    Pages I-XII
    PDF

  2. Oral Presentations

    1. Front Matter

      Pages 1-1
      PDF

    2. Evolutionary Program Sketching

      • Iwo Błądek, Krzysztof Krawiec
      Pages 3-18

    3. Exploring Fitness and Edit Distance of Mutated Python Programs

      • Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, David Cairns
      Pages 19-34

    4. Differentiable Genetic Programming

      • Dario Izzo, Francesco Biscani, Alessio Mereta
      Pages 35-51

    5. Evolving Game State Features from Raw Pixels

      • Baozhu Jia, Marc Ebner
      Pages 52-63

    6. Emergent Tangled Graph Representations for Atari Game Playing Agents

      • Stephen Kelly, Malcolm I. Heywood
      Pages 64-79

    8. Visualising the Search Landscape of the Triangle Program

      • William B. Langdon, Nadarajen Veerapen, Gabriela Ochoa
      Pages 96-113

    9. RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming

      • Uriel López, Leonardo Trujillo, Yuliana Martinez, Pierrick Legrand, Enrique Naredo, Sara Silva
      Pages 114-130

    10. Symbolic Regression on Network Properties

      • Marcus Märtens, Fernando Kuipers, Piet Van Mieghem
      Pages 131-146

    12. Strategies for Improving the Distribution of Random Function Outputs in GSGP

      • Luiz Otavio V. B. Oliveira, Felipe Casadei, Gisele L. Pappa
      Pages 164-177

    13. Synthesis of Mathematical Programming Constraints with Genetic Programming

      • Tomasz P. Pawlak, Krzysztof Krawiec
      Pages 178-193

    14. Grammatical Evolution of Robust Controller Structures Using Wilson Scoring and Criticality Ranking

      • Elias Reichensdörfer, Dirk Odenthal, Dirk Wollherr
      Pages 194-209

  3. Posters

    1. Front Matter

      Pages 227-227
      PDF

    3. RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines

      • Alex G. C. de Sá, Walter José G. S. Pinto, Luiz Otavio V. B. Oliveira, Gisele L. Pappa
      Pages 246-261

    4. A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming

      • Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O’Neill
      Pages 262-277
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Other Volumes

  1. Genetic Programming

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About this book

This book constitutes the refereed proceedings of the 20th European Conference on Genetic Programming, EuroGP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo* 2017 events, EvoCOP,  EvoMUSART, and EvoApplications.

The 14 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 32 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics  and applications including program synthesis, genetic improvement, grammatical representations, self-adaptation, multi-objective optimisation, program semantics, search landscapes, mathematical programming, games, operations research, networks, evolvable hardware, and program synthesis benchmarks.

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Keywords

  • artificial intelligence
  • evolutionary computation
  • machine learning
  • mathematical programming
  • program synthesis
  • benchmarks
  • business process
  • evolvable hardware
  • genetic algorithms
  • genetic improvement
  • grammars
  • heuristic methods
  • linear programming
  • multi-objective optimisation
  • networks
  • operations research
  • reinforcement learning
  • self-adaptation
  • semantics
  • software engineering
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Editors and Affiliations

  • University College Dublin , Dublin, Ireland

    James McDermott

  • Universidade Nova de Lisboa , Lisbon, Portugal

    Mauro Castelli

  • Brno University of Technology , Brno, Czech Republic

    Lukas Sekanina

  • Vrije Universiteit Amsterdam , Amsterdam, The Netherlands

    Evert Haasdijk

  • University of Cádiz , Cádiz, Spain

    Pablo García-Sánchez

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Bibliographic Information

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Access via your institution
eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-55696-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 79.99
Price excludes VAT (USA)
Learn about institutional subscriptions