Genetic and Evolutionary Computation

Genetic Programming Theory and Practice X

Editors: Riolo, R., Vladislavleva, E., Ritchie, M., Moore, J.H. (Eds.)

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Hardcover $109.00
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About this book

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of  injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data.

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

Reviews

From the book reviews:

“This book reflects the progress made in GP during recent years. It covers a large range of up-to-date applications and theoretical issues. All of the papers are valuable and are recommended reading for AI scientists or novices.” (Svetlana Segarceanu, Computing Reviews, July, 2014)


Table of contents (15 chapters)

  • Evolving SQL Queries from Examples with Developmental Genetic Programming

    Helmuth, Thomas (et al.)

    Pages 1-14

  • A Practical Platform for On-Line Genetic Programming for Robotics

    Soule, Terence (et al.)

    Pages 15-29

  • Cartesian Genetic Programming for Image Processing

    Harding, Simon (et al.)

    Pages 31-44

  • A New Mutation Paradigm for Genetic Programming

    Darabos, Christian (et al.)

    Pages 45-58

  • Introducing an Age-Varying Fitness Estimation Function

    Hodjat, Babak (et al.)

    Pages 59-71

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-6846-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-6845-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-0068-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Genetic Programming Theory and Practice X
Editors
  • Rick Riolo
  • Ekaterina Vladislavleva
  • Marylyn Ritchie
  • Jason H. Moore
Series Title
Genetic and Evolutionary Computation
Copyright
2013
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-6846-2
DOI
10.1007/978-1-4614-6846-2
Hardcover ISBN
978-1-4614-6845-5
Softcover ISBN
978-1-4939-0068-8
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XXVI, 242
Topics