Foundations in Grammatical Evolution for Dynamic Environments

  • Ian Dempsey
  • Michael O’Neill
  • Anthony Brabazon

Part of the Studies in Computational Intelligence book series (SCI, volume 194)

Table of contents

  1. Front Matter
  2. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 1-8
  3. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 9-24
  4. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 25-54
  5. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 55-68
  6. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 69-104
  7. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 105-120
  8. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 121-140
  9. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 141-161
  10. Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 163-169
  11. Back Matter

About this book

Introduction

Dynamic environments abound, encompassing many real-world problems in fields as diverse as finance, engineering, biology and business. A vibrant research literature has emerged which takes inspiration from evolutionary processes to develop problem-solvers for these environments.

'Foundations in Grammatical Evolution for Dynamic Environments' is a cutting edge volume illustrating current state of the art in applying grammar-based evolutionary computation to solve real-world problems in dynamic environments. The book provides a clear introduction to dynamic environments and the types of change that can occur in them. This is followed by a detailed description of evolutionary computation, concentrating on the powerful Grammatical Evolution methodology. It continues by addressing fundamental issues facing all Evolutionary Algorithms in dynamic problems, such as how to adapt and generate constants, how to enhance evolvability and maintain diversity. Finally, the developed methods are illustrated with application to the real-world dynamic problem of trading on financial time-series.

The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, who are seeking to apply grammar-based evolutionary algorithms to solve problems in dynamic environments. 'Foundations in Grammatical Evolution for Dynamic Environments' is the second book dedicated to the topic of Grammatical Evolution.

Keywords

Computational Finance Computational Intelligence Computer-Aided Design (CAD) Dynamic Environments Evolution Grammatical Evolution algorithm algorithms evolutionary algorithm evolutionary computation grammar

Authors and affiliations

  • Ian Dempsey
    • 1
  • Michael O’Neill
    • 2
  • Anthony Brabazon
    • 3
  1. 1.Lead Research AnalystPipeline Financial Group, Inc.New YorkUSA
  2. 2.Director - Natural Computing Research and Applications Group School of Computer Science and InformaticsUniversity College Dublin, BelfieldDublin 4Ireland
  3. 3.Head of Research - School of Business Quinn SchoolUniversity College Dublin, BelfieldDublin 4Ireland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00314-1
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00313-4
  • Online ISBN 978-3-642-00314-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book