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  • © 2009

Foundations in Grammatical Evolution for Dynamic Environments

  • Reports recent research results of Grammatical Evolution in Dynamic Environments

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

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Table of contents (9 chapters)

  1. Front Matter

  2. Introduction

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 1-8
  3. Grammatical Evolution

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 9-24
  4. Survey of EC in Dynamic Environments

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 25-54
  5. GE in Dynamic Environments

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 55-68
  6. Constant Creation and Adaptation in Grammatical Evolution

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 69-104
  7. Constant Creation with meta-Grammars

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 105-120
  8. Controlled Static Trading with GE

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 121-140
  9. Adaptive Dynamic Trading with GE

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 141-161
  10. Conclusions and the Future

    • Ian Dempsey, Michael O’Neill, Anthony Brabazon
    Pages 163-169
  11. Back Matter

About this book

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. 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.

Authors and Affiliations

  • Lead Research Analyst, Pipeline Financial Group, Inc., New York, USA

    Ian Dempsey

  • Director - Natural Computing Research and Applications Group School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland

    Michael O’Neill

  • Head of Research - School of Business Quinn School, University College Dublin, Belfield, Dublin 4, Ireland

    Anthony Brabazon

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access