A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
Metadata
Show full item recordEditorial
ComSIS Consortium
Materia
Green computing Energy-aware computing Performance measurements Evolutionary algorithms
Date
2018Referencia bibliográfica
Álvarez, J. D., Chávez, F. D. L. O., Castillo, P. A., García, J. A., & Rodriguez, F. J. (2018). A fuzzy rule-based system to predict energy consumption of genetic programming algorithms. Computer Science and Information Systems, 15(3), 635-654.
Sponsorship
We acknowledge support from Spanish Ministry of Economy and Competitiveness under projects TIN2014-56494-C4-[1,2,3]-P and TIN2017-85727-C4- [2,4]-P, Regional Government of Extremadura, Department of Commerce and Economy, conceded by the European Regional Development Fund, a way to build Europe, under the project IB16035, and Junta de Extremadura FEDER, projects GR15068 and GR15130.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.