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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| Format: | Electronic eBook |
| Language: | English |
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Boston, MA :
Springer US,
2010.
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| Series: | Genetic and evolutionary computation series.
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| Subjects: | |
| Online Access: | Full text (Wentworth users only). |
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
- Index.