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Genetic Programming Theory and Practice XII


Genetic Programming Theory and Practice XII


Genetic and Evolutionary Computation

von: Rick Riolo, William P. Worzel, Mark Kotanchek

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 04.06.2015
ISBN/EAN: 9783319160306
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

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.
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.
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

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