Limiting code growth to improve robustness in tree-based genetic programming

Authors:
Bart Wyns;Luc Boullart;Pieter Jan De Smedt
Affiliations:
Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium;Ghent University, Ghent, Belgium
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

Citing 1
Cited 1

Modification point depth and genome growth in genetic programming

Evolutionary Computation

A survey and taxonomy of performance improvement of canonical genetic programming

Knowledge and Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we analyze the composition of the function set ofthe artificial ant problem to define new training and testing trails similar to the Santa Fe trail. Cross-validation is used inapplications where large amounts of data are available. We alsouse a semantically driven growth limiter to reduce program sizeand check if growth reduction could lead to increased testperformance.