Authors: Banzhaf, Wolfgang
Brameier, Markus
Title: Effective Linear Genetic Programming
Language (ISO): en
Abstract: Different variants of genetic operators are introduced and compared for linear genetic programming including program induction without crossover. Variation strength of crossover and mutations is controlled based on the genetic code. Effectivity of genetic operations improves on code level and on fitness level. Thereby algorithms for creating code efficient solutions are presented.
URI: http://hdl.handle.net/2003/5407
http://dx.doi.org/10.17877/DE290R-15250
Issue Date: 2001-10-29
Publisher: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 531

Files in This Item:
File Description SizeFormat 
ci108.pdfDNB390.05 kBAdobe PDFView/Open
ci108.ps355.43 kBPostscriptView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.