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...
| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2010.
|
| Series: | Genetic and Evolutionary Computation,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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.