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Genetic Programming

19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Malcolm I. Heywood

    1. Dalhousie University, Halifax, Canada

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  2. James McDermott

    1. University College Dublin, Dublin, Ireland

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  3. Mauro Castelli

    1. Universidade Nova de Lisboa, Lisboa, Portugal

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  4. Ernesto Costa

    1. CIUSC Dept Informatics Engg, University of Coimbra, Coimbra, Portugal

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  5. 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 9594)

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

Included in the following conference series:

Conference proceedings info: EuroGP 2016.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-XII
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  2. Full Presentations

    1. Front Matter

      Pages 1-1
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    2. One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming

      • Van Loi Cao, Miguel Nicolau, James McDermott
      Pages 3-18

    3. Evolutionary Approximation of Edge Detection Circuits

      • Petr Dvoracek, Lukas Sekanina
      Pages 19-34

    4. On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets

      • Sara Khanchi, Malcolm I. Heywood, Nur Zincir-Heywood
      Pages 35-50

    5. Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data

      • Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Bing Xue
      Pages 51-67

    6. Surrogate Fitness via Factorization of Interaction Matrix

      • PaweÅ‚ Liskowski, Krzysztof Krawiec
      Pages 68-82

    7. Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming

      • David Lynch, Michael Fenton, Stepan Kucera, Holger Claussen, Michael O’Neill
      Pages 83-98

    8. On the Analysis of Simple Genetic Programming for Evolving Boolean Functions

      • Andrea Mambrini, Pietro S. Oliveto
      Pages 99-114

    9. Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches

      • John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
      Pages 115-132

    10. A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications

      • Esteban Ricalde, Wolfgang Banzhaf
      Pages 133-148

    11. A Genetic Programming-Based Imputation Method for Classification with Missing Data

      • Cao Truong Tran, Mengjie Zhang, Peter Andreae
      Pages 149-163

    12. Plastic Fitness Predictors Coevolved with Cartesian Programs

      • Michal Wiglasz, Michaela Drahosova
      Pages 164-179

  3. Short Presentations

    1. Front Matter

      Pages 181-181
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    2. Search-Based SQL Injection Attacks Testing Using Genetic Programming

      • Benjamin Aziz, Mohamed Bader, Cerana Hippolyte
      Pages 183-198

    3. Grammar Design for Derivation Tree Based Genetic Programming Systems

      • Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O’Neill
      Pages 199-214

    4. Modelling Evolvability in Genetic Programming

      • Benjamin Fowler, Wolfgang Banzhaf
      Pages 215-229

    5. Towards Automated Strategies in Satisfiability Modulo Theory

      • Nicolás Gálvez Ramírez, Youssef Hamadi, Eric Monfroy, Frédéric Saubion
      Pages 230-245

    6. Geometric Semantic Genetic Programming Is Overkill

      • Tomasz P. Pawlak
      Pages 246-260

    7. Semantic Geometric Initialization

      • Tomasz P. Pawlak, Krzysztof Krawiec
      Pages 261-277
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Other volumes

  1. Genetic Programming

Keywords

About this book

This book constitutes the refereed proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016, held in Porto, Portugal, in March/April 2016 co-located with the Evo*2016 events: EvoCOP, EvoMUSART, and EvoApplications.

The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 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, metaheuristics, evolvability, and fitness predictors; and applications including image processing, one-class classification, SQL injection attacks, numerical modelling, streaming data classification, creation and optimisation of circuits, multi-class classification, scheduling in manufacturing and wireless networks.

Editors and Affiliations

  • Dalhousie University, Halifax, Canada

    Malcolm I. Heywood

  • University College Dublin, Dublin, Ireland

    James McDermott

  • Universidade Nova de Lisboa, Lisboa, Portugal

    Mauro Castelli

  • CIUSC Dept Informatics Engg, University of Coimbra, Coimbra, Portugal

    Ernesto Costa

  • Edinburgh Napier University, Edinburgh, United Kingdom

    Kevin Sim

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