Genetic Programming Theory and Practice IX
Springer-Verlag New York Inc.
978-1-4614-1769-9 (ISBN)
Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;
In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning.
This text is for all GP explorers. 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.
What’s in an evolved name? The evolution of modularity via tag-based Reference.- Let the Games Evolve!.- Novelty Search and the Problem with Objectives.- A fine-grained view of phenotypes and locality in genetic programming.- Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control.- Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic.- Computational Complexity Analysis of Genetic Programming – Initial Results and Future Directions.- Accuracy in Symbolic Regression.- Human-Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer.- Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling.- Detecting Shadow Economy Sizes With Symbolic Regression.- The Importance of Being Flat – Studying the Program Length Distributions of Operator Equalisation.- FFX: Fast, Scalable, Deterministic Symbolic Regression Technology.
| Reihe/Serie | Genetic and Evolutionary Computation |
|---|---|
| Zusatzinfo | XXVIII, 264 p. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Automatic Programming • Computational Complexity • Evolutionary Games • FFX • genetic programming • Genetische Programmierung • novelty search • program induction • sensory evaluation modeling • Symbolic Regression • tag-based reference • Time series prediction |
| ISBN-10 | 1-4614-1769-4 / 1461417694 |
| ISBN-13 | 978-1-4614-1769-9 / 9781461417699 |
| Zustand | Neuware |
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