Genetic Programming Theory and Practice XII

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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: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. 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.

Provides papers describing cutting-edge work on genetic programming theory, applications of GP and theory Offers large-scale, real-world applications of GP to a variety of problem domains, from financial engineering to analog circuit design Based on cutting edge applications and the latest in theoretical results Includes supplementary material: sn.pub/extras

Inhalt
Application of Machine-Learing Methods to Understand Gene Expression Regulation.- Identification of Novel Genetic Models of Glaucoma using the "Emergent" Genetic Programming-Based Artificial Intelligence System.- Inheritable Epigenetics in Genetic Programming.- SKGP: The Way of the Combinator.- Sequential Symbolic Regression with Genetic Programming.- Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.- Extremely Accurate Symbolic Regression for Large Feature Problems.- How to Exploit Alignment in the Error Space: Two Different GP Models.- Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn?.- Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319383767
    • Genre Information Technology
    • Auflage Softcover reprint of the original 1st edition 2015
    • Editor Rick Riolo, Mark Kotanchek, William P. Worzel
    • Lesemotiv Verstehen
    • Anzahl Seiten 196
    • Größe H235mm x B155mm x T11mm
    • Jahr 2016
    • EAN 9783319383767
    • Format Kartonierter Einband
    • ISBN 3319383760
    • Veröffentlichung 17.10.2016
    • Titel Genetic Programming Theory and Practice XII
    • Untertitel Genetic and Evolutionary Computation
    • Gewicht 306g
    • Herausgeber Springer International Publishing
    • Sprache Englisch

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