GEP Book
Home
News
Author
Q&A
Tutorials
Downloads
GEP Biblio
Contacts
Visit Gepsoft
|
C. FERREIRA |
In Leandro N. de Castro and Fernando J. Von Zuben, eds., Recent Developments in Biologically Inspired Computing, pages
82-103, Idea Group Publishing, 2004.
|
|
|
Gene Expression Programming and the Evolution of Computer Programs
|
|
Conclusions |
|
In this chapter the details of implementation of gene expression programming were thoroughly explained, giving other researchers the possibility of implementing it themselves. Furthermore, this new algorithm was summarily compared to genetic algorithms and genetic programming in order to bring into focus the fundamental differences between the three techniques and, consequently, enable readers to appreciate the advantages a full-fledged genotype/phenotype system brings into evolutionary computation. In addition, the classification task solved in this work clearly demonstrates the modeling prowess of this new technique: the compact computer programs evolved by gene expression programming in its native Karva code can be immediately used to generate highly sophisticated computer programs in virtually any programming language through the use of grammars as is already done in commercially available software.
|
|
Home
|
Contents
| Previous
| Next
|
|