Practical model of genetic programming's performance on rational symbolic regression problems

Authors:
Mario Graff;Riccardo Poli
Affiliations:
Department of Computing and Electronic Systems, University of Essex, UK;Department of Computing and Electronic Systems, University of Essex, UK
Venue:
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Year:
2008

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Abstract

Many theoretical studies on GP are criticized for not being applicable to the real world. Here we present a practical model for the performance of a standard GP system in real problems. The model gives accurate predictions and has a variety of applications, including the assessment of the similarities and differences of different GP systems.