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...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
2010, 2010
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Edition: | 1st ed. 2010 |
Series: | Genetic and Evolutionary Computation
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Subjects: | |
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