@misc{10481/57787,
year = {2018},
url = {http://hdl.handle.net/10481/57787},
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.},
organization = {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.},
publisher = {ComSIS Consortium},
keywords = {Green computing},
keywords = {Energy-aware computing},
keywords = {Performance measurements},
keywords = {Evolutionary algorithms},
title = {A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms},
doi = {10.2298/CSIS180110026A},
author = {Díaz Álvarez, Josefa and Castillo Valdivieso, Pedro Ángel},
}