Dear Colleagues,
The invited book chapter on Automatically Defined Functions in GEP is now
available online both in pdf format and html at:
http://www.gene-expression-programming.com/webpapers/abstracts.asp#13
Ferreira, C., Automatically Defined Functions in Gene Expression
Programming. In N. Nedjah, L. de M. Mourelle, A. Abraham, eds., Genetic
Systems Programming: Theory and Experiences, Studies in Computational
Intelligence, Vol. 13, pp. 21-56, Springer-Verlag, 2006.
ABSTRACT: In this chapter it is shown how Automatically Defined Functions
are encoded in the genotype/phenotype system of Gene Expression
Programming.
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 introduction
proceeds
with a detailed description of the architecture of the main players of
Gene
Expression Programming (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. The work proceeds with an introduction to
Automatically
Defined Functions and how they are implemented in Gene Expression
Programming. Furthermore, the im****tance of Automatically Defined
Functions
in Evolutionary Computation is thoroughly analyzed by comparing the
performance of sophisticated learning systems with Automatically Defined
Functions with much simpler ones on the ***tic polynomial problem.
Best wishes,
Candida
---
Candida Ferreira, Ph.D.
Founder and Director, Gepsoft
http://www.gene-expression-programming.com/author.asp
GEP: Mathematical Modeling by an Artificial Intelligence.
2nd Edition, Springer, 2006
http://www.gene-expression-programming.com/Books/index.asp
GeneXproTools 4.0 -- Data Mining Software
http://www.gepsoft.com/
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