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Genetic Programming Theory and Practice VII: Genetic and Evolutionary Computation

Editat de Rick Riolo, Una-May O'Reilly, Trent McConaghy
en Limba Engleză Paperback – 25 feb 2012
Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few.
About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.
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Specificații

ISBN-13: 9781461425014
ISBN-10: 1461425018
Pagini: 248
Ilustrații: XIV, 231 p. 100 illus.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:2010
Editura: Springer Us
Colecția Springer
Seria Genetic and Evolutionary Computation

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

GPTP 2009: An Example of Evolvability.- Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics.- Evolving Coevolutionary Classifiers Under Large Attribute Spaces.- Symbolic Regression Via Genetic Programming as a Discovery Engine: Insights on Outliers and Prototypes.- Symbolic Regression of Implicit Equations.- A Steady-State Version of the Age-Layered Population Structure EA.- Latent Variable Symbolic Regression for High-Dimensional Inputs.- Algorithmic Trading with Developmental and Linear Genetic Programming.- High-Significance Averages of Event-Related Potential Via Genetic Programming.- Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes.- Graph Structured Program Evolution: Evolution of Loop Structures.- A Functional Crossover Operator for Genetic Programming.- Symbolic Regression of Conditional Target Expressions.

Textul de pe ultima copertă

Genetic programming has emerged as an important computational methodology for solving complex problems in a diversity of disciplines. In an effort to foster collaborations and facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming, the annual Genetic Programming Theory and Practice Workshop was organized by the University of Michigan’s Center for the Study of Complex Systems to provide a forum for both those who develop computational theory and those that practice the art of computation.
Genetic Programming Theory and Practice VII presents the results of this workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few.
About this book:
  • Discusses the hurdles encountered when solving large-scale, cutting-edge applications
  • Provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems
  • Contributed by GP theorists from major universities and active practitioners from industry examining how GP theory informs practice and how GP practice impacts GP theory
Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.

Caracteristici

Discusses the hurdles faced in solving large-scale, cutting-edge applications Provides in depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems Contributions by GP theorists from major universities and active practitioners from industry examine how GP theory informs practice and how GP practice impacts GP theory