Genetic and Evolutionary Computation
© 2018
Genetic Programming Theory and Practice XIV
Editors: Riolo, R., Worzel, B., Goldman, B., Tozier, B. (Eds.)
- Provides chapters describing cutting-edge work on the theory and applications of genetic programming (GP)
- Offers large-scale, real-world applications of GP to a variety of problem domains
- Written by leading international experts from both academia and industry
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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. Chapters in this volume include:
- Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
- Hybrid Structural and Behavioral Diversity Methods in GP
- Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
- Evolving Artificial General Intelligence for Video Game Controllers
- A Detailed Analysis of a PushGP Run
- Linear Genomes for Structured Programs
- Neutrality, Robustness, and Evolvability in GP
- Local Search in GP
- PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
- Relational Structure in Program Synthesis Problems with Analogical Reasoning
- An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
- A Generic Framework for Building Dispersion Operators in the Semantic Space
- Assisting Asset Model Development with Evolutionary Augmentation
- Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool
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.
- Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Genetic Programming Theory and Practice XIV
- Editors
-
- Rick Riolo
- Bill Worzel
- Brian Goldman
- Bill Tozier
- Series Title
- Genetic and Evolutionary Computation
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-97088-2
- DOI
- 10.1007/978-3-319-97088-2
- Hardcover ISBN
- 978-3-319-97087-5
- Series ISSN
- 1932-0167
- Edition Number
- 1
- Number of Pages
- XVII, 227
- Number of Illustrations and Tables
- 52 b/w illustrations
- Topics
