| 书目名称 | Linear Genetic Programming |
| 编辑 | Markus F. Brameier,Wolfgang Banzhaf |
| 视频video | http://file.papertrans.cn/587/586325/586325.mp4 |
| 概述 | One of the few books that deals solely with linear GP and contains a number of concrete, experimental results.Methods and analysis techniques are specifically adapted to the LGP approach, analyzing LG |
| 丛书名称 | Genetic and Evolutionary Computation |
| 图书封面 |  |
| 描述 | .Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. Typical GP phenomena, such as non-effective code, neutral variations, and code growth are investigated from the perspective of linear GP...This book serves as a reference for researchers; it also contains sufficient introductory material for students and those who are new to the field.. |
| 出版日期 | Book 2007 |
| 关键词 | Step Size Control; Syntax; algorithms; code growth; diversity control; evolutionary algorithm; genetic alg |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-31030-5 |
| isbn_softcover | 978-1-4419-4048-3 |
| isbn_ebook | 978-0-387-31030-5Series ISSN 1932-0167 Series E-ISSN 1932-0175 |
| issn_series | 1932-0167 |
| copyright | Springer-Verlag US 2007 |
|Archiver|手机版|小黑屋|
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