Genetic Programming: 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings | SpringerLink
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Genetic Programming

18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings

  • Conference proceedings
  • © 2015

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Editors:
  1. Penousal Machado

    1. Universidade de Coimbra, Coimbra, Portugal

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  2. Malcolm I. Heywood

    1. Dalhousie University, Halifax, Canada

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  3. James McDermott

    1. University College Dublin, Dublin, Ireland

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  4. Mauro Castelli

    1. Universidade Nova de Lisboa, Lisboa, Portugal

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  5. Pablo García-Sánchez

    1. Universidad de Granada, Granada, Spain

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  6. Paolo Burelli

    1. Aalborg University, Copenhagen, Denmark

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  7. Sebastian Risi

    1. IT University of Copenhagen, Copenhagen, Denmark

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  8. Kevin Sim

    1. Edinburgh Napier University, Edinburgh, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9025)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: EuroGP 2015.

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About this book

This book constitutes the refereed proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, initialisation procedures, ensemble methods and search objectives; and applications including text processing, cryptography, numerical modelling, software parallelisation, creation and optimisation of circuits, multi-class classification, scheduling and artificial intelligence.

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Table of contents (18 papers)

  1. Front Matter

    Pages I-XII
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  2. Regular Papers

    1. Front Matter

      Pages 1-1
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    2. The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems

      • Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otávio V. B. Oliveira
      Pages 3-15

    3. Learning Text Patterns Using Separate-and-Conquer Genetic Programming

      • Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao
      Pages 16-27

    4. Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation

      • Grant Dick
      Pages 28-40

    5. On the Generalization Ability of Geometric Semantic Genetic Programming

      • Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
      Pages 41-52

    6. Automatic Derivation of Search Objectives for Test-Based Genetic Programming

      • Krzysztof Krawiec, Paweł Liskowski
      Pages 53-65

    7. Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation

      • Vojtech Mrazek, Zdenek Vasicek
      Pages 66-77

    8. M3GP – Multiclass Classification with GP

      • Luis Muñoz, Sara Silva, Leonardo Trujillo
      Pages 78-91

    9. Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling

      • John Park, Su Nguyen, Mengjie Zhang, Mark Johnston
      Pages 92-104

    10. Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification

      • James Vincent Patten, Conor Ryan
      Pages 105-112

    11. Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs

      • Michaela Sikulova, Jiri Hulva, Lukas Sekanina
      Pages 113-125

    12. Tapped Delay Lines for GP Streaming Data Classification with Label Budgets

      • Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood
      Pages 126-138

    13. Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates

      • Zdenek Vasicek
      Pages 139-150

  3. Posters

    1. Front Matter

      Pages 151-151
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    2. Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson

      • Urvesh Bhowan, D. J. McCloskey
      Pages 153-166

    3. Automatic Evolution of Parallel Recursive Programs

      • Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan
      Pages 167-178

    4. Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models

      • Igor S. Peretta, Keiji Yamanaka, Paul Bourgine, Pierre Collet
      Pages 179-191

    5. Evolutionary Methods for the Construction of Cryptographic Boolean Functions

      • Stjepan Picek, Domagoj Jakobovic, Julian F. Miller, Elena Marchiori, Lejla Batina
      Pages 192-204

    6. Templar – A Framework for Template-Method Hyper-Heuristics

      • Jerry Swan, Nathan Burles
      Pages 205-216
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Other volumes

  1. Genetic Programming

Editors and Affiliations

  • Universidade de Coimbra, Coimbra, Portugal

    Penousal Machado

  • Dalhousie University, Halifax, Canada

    Malcolm I. Heywood

  • University College Dublin, Dublin, Ireland

    James McDermott

  • Universidade Nova de Lisboa, Lisboa, Portugal

    Mauro Castelli

  • Universidad de Granada, Granada, Spain

    Pablo García-Sánchez

  • Aalborg University, Copenhagen, Denmark

    Paolo Burelli

  • IT University of Copenhagen, Copenhagen, Denmark

    Sebastian Risi

  • Edinburgh Napier University, Edinburgh, United Kingdom

    Kevin Sim

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