EGIPSYS: an Enhanced Gene Expression Programming
Approach for Symbolic Regression Problems
International Journal of Applied Mathematics and
Computer Science, (2004)Special Issue: Evolutionary Computation.Abstract
This enhanced system, called EGIPSYS, has features
specially suited to deal with symbolic regression
problems. Amongst the new features implemented in
EGIPSYS are: new selection methods, chromosomes of
variable length, a new approach to manipulating
constants, new genetic operators and an adaptable
fitness function. All the proposed improvements were
tested separately, and proved to be advantageous over
the basic GEP. EGIPSYS was also applied to four
difficult identification problems and its performance
was compared with a traditional implementation of
genetic programming (LilGP). Overall, EGIPSYS was able
to obtain consistently better results than the system
using genetic programming, finding less complex
solutions with less computational effort. The success
obtained suggests the adaptation and extension of the
system to other classes of problems.