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Genetic Programming Theory and Practice VII

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 G...

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Bibliographic Details
Other Authors: Riolo, Rick (Editor), O'Reilly, Una-May (Editor), McConaghy, Trent (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2010, 2010
Edition:1st ed. 2010
Series:Genetic and Evolutionary Computation
Subjects:
Programming Techniques
Computer Science
Computer Programming
Artificial Intelligence
Algorithms
Theory Of Computation
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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