Genetic Programming Theory and Practice XII

Rick Riolo, William P. Worzel, Mark Kotanchek (Herausgeber)

Buch | Softcover

XII, 182 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-38376-7 (ISBN)

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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.

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.

Erscheinungsdatum	21.10.2016
Reihe/Serie	Genetic and Evolutionary Computation
Zusatzinfo	XII, 182 p. 59 illus., 12 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Algorithm analysis and problem complexity • algorithms and data structures • Artificial Evolution • Artificial Intelligence • artificial intelligence (incl. robotics) • Computer programming / software engineering • Computer Science • Evolution of Models • Feature Selection • genetic programming • Genetic Programming Applications • Genetic Programming Theory • program induction • Programming Techniques • Robotics • Symbolic Regression
ISBN-10	3-319-38376-0 / 3319383760
ISBN-13	978-3-319-38376-7 / 9783319383767
Zustand	Neuware