Genetic Programming Theory and Practice XV
Editors: BANZHAF, W., Olson, R., Tozier, B., Riolo, R. (Eds.)
Free Preview- Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP)
- Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scientific applications as well as bioinformatics problems
- Explores controlled semantics, lexicase and other selection methods, crossover techniques, diversity analysis and understanding of convergence tendencies
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- About this book
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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: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. 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.
- Table of contents (11 chapters)
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Exploiting Subprograms in Genetic Programming
Pages 1-16
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Schema Analysis in Tree-Based Genetic Programming
Pages 17-37
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Genetic Programming Symbolic Classification: A Study
Pages 39-54
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Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System
Pages 55-71
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Applying Ecological Principles to Genetic Programming
Pages 73-88
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Table of contents (11 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Genetic Programming Theory and Practice XV
- Editors
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- WOLFGANG BANZHAF
- Randy Olson
- Bill Tozier
- Rick Riolo
- Series Title
- Genetic and Evolutionary Computation
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-90512-9
- DOI
- 10.1007/978-3-319-90512-9
- Hardcover ISBN
- 978-3-319-90511-2
- Series ISSN
- 1932-0167
- Edition Number
- 1
- Number of Pages
- XV, 187
- Number of Illustrations
- 8 b/w illustrations, 46 illustrations in colour
- Topics
