Un esquema eficiente para la evaluación de la aptitud en programación genética usando el lenguaje R (An Efficient New Scheme of Fitness Evaluation in Genetic Programming using the R Language)

Carlos Martinez (amartin@unal.edu.co)1, Juan David Velasquez (jdvelasq@unal.edu.co)1


1Universidad Nacional de Colombia

This paper appears in: Revista IEEE América Latina

Publication Date: April 2016
Volume: 14,   Issue: 4 
ISSN: 1548-0992


Abstract:
The aim of this paper is to propose and analyze several fitness evaluation schemes for solving regression problems using Genetic Programming. The proposed schemes are designed considering the particularities and characteristics of the R Language, and particularly the capacities of the language for matrix manipulation and mathematical expressions evaluation. Experimental results show that some the proposed schemes are able to reduce until 99% the time spend in fitness evaluation in comparison with the original genetic programming implementation using a traditional tree structure.

Index Terms:
Nonlinear models, Genetic programming, R Language, Fitness evaluation   


Documents that cite this document
This function is not implemented yet.


[PDF Full-Text (239)]