Dear Colleagues,
The invited book chapter published by Idea Group Publishing is now
available online both in pdf format and html at:
http://www.gene-expression- programming.com/gep/webpapers/abstracts.asp#11
Ferreira, C., Gene Expression Programming and the Evolution of Computer
Programs. In Leandro N. de Castro and Fernando J. Von Zuben, eds., Recent
Developments in Biologically Inspired Computing, pages 82-103, Idea Group
Publishing, 2004.
ABSTRACT:
In this chapter an artificial problem solver inspired in natural
genotype/phenotype systems – gene expression programming – is presented. As
an introduction, the fundamental differences between gene expression
programming and its predecessors, genetic algorithms and genetic
programming, are briefly summarized so that the evolutionary advantages of
gene expression programming are better understood. The work proceeds with a
detailed description of the architecture of the main players of this new
algorithm (chromosomes and expression trees), focusing mainly on the
interactions between them and how the simple yet revolutionary structure of
the chromosomes allows the efficient, unconstrained exploration of the
search space. And finally, the chapter closes with an advanced application
in which gene expression programming is used to evolve computer programs
for diagnosing breast cancer.
I hope you enjoy it.
Best regards,
Candida Ferreira
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Candida Ferreira, Ph.D.
Chief Scientist, Gepsoft
http://www.gene-expression-programming.com/author.asp
GEP: Mathematical Modeling by an Artificial Intelligence
http://www.gene-expression-programming.com/gep/Books/index.asp
Online Version:
http://www.gene-expression- programming.com/gep/GepBook/Introduction.htm
Modeling Software:
http://www.gepsoft.com/ Get APS 3.0 Std free with the book!
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