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Handbook of Grammatical Evolution

  • Conor Ryan
  • Michael O'Neill
  • JJ Collins

Table of contents

  1. Front Matter
    Pages i-x
  2. Conor Ryan, Michael O’Neill, JJ Collins
    Pages 1-21
  3. Miguel Nicolau, Alexandros Agapitos
    Pages 23-53
  4. David Fagan, Eoin Murphy
    Pages 79-108
  5. Erik Hemberg
    Pages 109-135
  6. Nuno Lourenço, Filipe Assunção, Francisco B. Pereira, Ernesto Costa, Penousal Machado
    Pages 137-161
  7. Alberto Moraglio, James McDermott, Michael O’Neill
    Pages 163-188
  8. Marina de la Cruz Echeandía, Younis R. SH. Elhaddad, Suzan Awinat, Alfonso Ortega
    Pages 189-218
  9. Amanda Sabatini Dufek, Douglas Adriano Augusto, Helio José Corrêa Barbosa, Pedro Leite da Silva Dias
    Pages 219-244
  10. R. Muhammad Atif Azad, Conor Ryan
    Pages 245-262
  11. Gopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan, Stephan Eidenbenz, Nandakishore Santhi
    Pages 289-315
  12. Michael Fenton, Jonathan Byrne, Erik Hemberg
    Pages 317-339
  13. Róisín Loughran
    Pages 341-366
  14. J. Ignacio Hidalgo, J. Manuel Colmenar, J. Manuel Velasco, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica et al.
    Pages 367-393
  15. Erik Hemberg, Anthony Erb Lugo, Dennis Garcia, Una-May O’Reilly
    Pages 407-431
  16. Diego Perez-Liebana, Miguel Nicolau
    Pages 433-460
  17. Gilyana Borlikova, Louis Smith, Michael Phillips, Michael O’Neill
    Pages 461-486
  18. Back Matter
    Pages 487-497

About this book

Introduction

This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool.    Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics.   Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.

The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.  

The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. 

Topics include:

•         Grammar design

•         Bias in GE

•         Mapping in GE

•         Theory of disruption in GE

·               Structured GE

·               Geometric semantic GE

·               GE and semantics

·               Multi- and Many-core heterogeneous parallel GE

·               Comparing methods to creating constants in GE

·               Financial modelling with GE

·               Synthesis of parallel programs on multi-cores

·               Design, architecture and engineering with GE

·               Computational creativity and GE

·               GE in the prediction of glucose for diabetes

·               GE approaches to bioinformatics and system genomics

·               GE with coevolutionary algorithms in cybersecurity

·               Evolving behaviour trees with GE for platform games

·               Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials

Keywords

Grammatical evolution Machine learning Automatic programming Evolutionary computation Artificial life

Editors and affiliations

  • Conor Ryan
    • 1
  • Michael O'Neill
    • 2
  • JJ Collins
    • 3
  1. 1.Department of Computer Science and Information SystemsUniversity of LimerickCastletroyIreland
  2. 2.School of BusinessUniversity College DublinDublinIreland
  3. 3.Department of Computer Science and Information SystemsUniversity of LimerickCastletroyIreland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78717-6
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-78716-9
  • Online ISBN 978-3-319-78717-6
  • Buy this book on publisher's site