Genetic Programming Theory and Practice VIII: 8 - Rilegato

 
9781441977465: Genetic Programming Theory and Practice VIII: 8
Rilegato
ISBN 10: 1441977465 ISBN 13: 9781441977465
Casa editrice: Springer-Nature New York Inc, 2010

Sinossi

The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP, Abstract Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by Continuous Evolution, Symbolic Density Models, GP Transforms in Linear Regression Situations, Protein Interactions in a Computational Evolution System, Composition of Music and Financial Strategies via GP, and Evolutionary Art Using Summed Multi-Objective Ranks.

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 in GP .

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Recensione

From the reviews:

“The book consists of 14 papers and an introduction. The applications it considers clearly demonstrate the maturity of GP techniques, and their ability to efficiently address difficult problem instances. ... A specialized audience of experts in genetic algorithms will find state-of-the-art applications and methodologies in this book. It will also be of interest to practitioners for the large number of applications discussed, and to advanced students and researchers for the numerous opportunities for investigation and thesis topics.” (Renato De Leone, ACM Computing Reviews, July, 2011)

Contenuti

FINCH: A System for Evolving Java (Bytecode).- Towards Practical Autoconstructive Evolution: Self-Evolution of Problem-Solving Genetic Programming Systems.- The Rubik Cube and GP Temporal Sequence Learning: An Initial Study.- Ensemble Classifiers: AdaBoost and Orthogonal Evolution of Teams.- Covariant Tarpeian Method for Bloat Control in Genetic Programming.- A Survey of Self Modifying Cartesian Genetic Programming.- Abstract Expression Grammar Symbolic Regression.- Age-Fitness Pareto Optimization.- Scalable Symbolic Regression by Continuous Evolution with Very Small Populations.- Symbolic Density Models of One-in-a-Billion Statistical Tails via Importance Sampling and Genetic Programming.- Genetic Programming Transforms in Linear Regression Situations.- Exploiting Expert Knowledge of Protein-Protein Interactions in a Computational Evolution System for Detecting Epistasis.- Composition of Music and Financial Strategies via Genetic Programming.- Evolutionary Art Using Summed Multi-Objective Ranks.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2010
Lingua
Inglese
ISBN 10 
1441977465
ISBN 13 
9781441977465
Rilegatura
Copertina rigida
Numero di pagine
244
Redattore
Riolo Rick, Mcconaghy Trent, Vladislavleva Ekatrina
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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Altre edizioni note dello stesso titolo

9781461427193: Genetic Programming Theory and Practice VIII: 8

Edizione in evidenza

ISBN 10:  1461427193 ISBN 13:  9781461427193
Casa editrice: Springer, 2012
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