Journal's Facebook pageA Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
- Mérida Campus, University of Extremadura
Mérida, Spain
{mjdiaz, fchavez, juangm, fcofdez}@unex.es - Computer Architecture and Technology Department. University of Granada
Spain
pacv@ugr.es - Computer Science Department. University of Burgos
Spain
fjrdiaz@ubu.es
Abstract
In recent years, the energy-awareness has become one of the most interesting areas in our environmentally conscious society. Algorithm designers have been part of this, particularly when dealing with networked devices and, mainly, when handheld ones are involved. Although studies in this area has increased, not many of them have focused on Evolutionary Algorithms. To the best of our knowledge, few attempts have been performed before for modeling their energy consumption considering different execution devices. In this work, we propose a fuzzy rulebased system to predict energy comsumption of a kind of Evolutionary Algorithm, Genetic Prohramming, given the device in wich it will be executed, its main parameters, and a measurement of the difficulty of the problem addressed. Experimental results performed show that the proposed model can predict energy consumption with very low error values.
Key words
Green computing, energy-aware computing, performance measurements, evolutionary algorithms
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS180110026A
Publication information
Volume 15, Issue 3 (October 2018)
Year of Publication: 2018
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
Available in PDF
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How to cite
Álvarez, J. D., O, F. C. d. l., Castillo, P. A., García, J. A., Rodriguez, F. J., Vega, F. F. d.: A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms. Computer Science and Information Systems, Vol. 15, No. 3, 635–654. (2018), https://doi.org/10.2298/CSIS180110026A
