Verkauf durch Sack Fachmedien

Riolo / Vladislavleva / Moore

Genetic Programming Theory and Practice IX

Medium: Buch
ISBN: 978-1-4614-1769-9
Verlag: Humana
Erscheinungstermin: 01.11.2011
Lieferfrist: bis zu 10 Tage

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 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.


Produkteigenschaften


  • Artikelnummer: 9781461417699
  • Medium: Buch
  • ISBN: 978-1-4614-1769-9
  • Verlag: Humana
  • Erscheinungstermin: 01.11.2011
  • Sprache(n): Englisch
  • Auflage: 2011
  • Serie: Genetic and Evolutionary Computation
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 606 g
  • Seiten: 264
  • Format (B x H x T): 160 x 241 x 21 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.