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Genetic Programming Theory and Practice IV

BuchGebunden
338 Seiten
Englisch
Springererschienen am14.03.2007
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan´s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP).mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR160,49
BuchGebunden
EUR172,50
E-BookPDF1 - PDF WatermarkE-Book
EUR149,79

Produkt

KlappentextGenetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan´s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP).
Zusammenfassung
Discusses the hurdles faced in solving large-scale, cutting edge applications

Describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control

Explores evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers

Includes supplementary material: sn.pub/extras
Details
ISBN/GTIN978-0-387-33375-5
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2007
Erscheinungsdatum14.03.2007
ReiheGenetic and Evolutionary Computation
Seiten338 Seiten
SpracheEnglisch
IllustrationenXVI, 338 p. 200 illus.
Artikel-Nr.10733638

Inhalt/Kritik

Inhaltsverzeichnis
Genetic Programming: Theory and Practice.- Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge.- Lifting the Curse of Dimensionality.- Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots.- Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification.- Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors.- Multidimensional Tags, Cooperative Populations, and Genetic Programming.- Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations.- Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits.- Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data.- Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization.- Applying Genetic Programming to Reservoir History Matching Problem.- Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs.- Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms.- Phase Transitions in Genetic Programming Search.- Efficient Markov Chain Model of Machine Code Program Execution and Halting.- A Re-Examination of a Real World Blood Flow Modeling Problem Using Context-Aware Crossover.- Large-Scale, Time-Constrained Symbolic Regression.- Stock Selection: An Innovative Application of Genetic Programming Methodology.mehr
Kritik
From the reviews:



"Every cutting-edge researcher, in every computational discipline, working on any real-world application, should make it a point to keep abreast of the ongoing progress of genetic programming theory and practice, which is currently available in this book. ... a great win-win synergy opportunity here for less-cutting-edge researchers to try these maturing tools on more intuitive data masses; they should be more able to appreciate the results, and the genetic programming cryptography community might then learn something new about how to interpret post-scientific results." (Chaim Scheff, ACM Computing Reviews, Vol. 49 (8), August, 2008)mehr

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