Linear Genetic Programming
Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in traditional Genetic Programming (GP), Linear Genetic Programming (LGP) employs a linear program structure as ge...
Saved in:
| Main Authors: | , |
|---|---|
| 企業作者: | |
| 格式: | 電子 電子書 |
| 語言: | English |
| 出版: |
New York, NY :
Springer US : Imprint: Springer,
2007.
|
| 版: | 1st ed. 2007. |
| 叢編: | Genetic and Evolutionary Computation,
|
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-0-387-31030-5 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
書本目錄:
- Fundamental Analysis
- Basic Concepts of Linear Genetic Programming
- Characteristics of the Linear Representation
- A Comparison with Neural Networks
- Method Design
- Linear Genetic Operators I — Segment Variations
- Linear Genetic Operators II — Instruction Mutations
- Analysis of Control Parameters
- A Comparison with Tree-Based Genetic Programming
- Advanced Techniques and Phenomena
- Control of Diversity and Variation Step Size
- Code Growth and Neutral Variations
- Evolution of Program Teams
- Epilogue.