Geodesic
A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
Computer Science and Information Systems, Tome 15 (2018) no. 3.

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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.
Keywords: Green computing, energy-aware computing, performance measurements, evolutionary algorithms 
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     author = {Josefa D{\'\i}az \'Alvarez and Franciso Ch\'avez de la O and Pedro A. Castillo and Juan Angel Garc{\'\i}a and Francisco J. Rodriguez and Francisco Fern\'andez de Vega},
     title = {A {Fuzzy} {Rule-Based} {System} to {Predict} {Energy} {Consumption} of {Genetic} {Programming} {Algorithms}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {15},
     number = {3},
     year = {2018},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2018_15_3_a11/}
}
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AU  - Francisco J. Rodriguez
AU  - Francisco Fernández de Vega
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%A Franciso Chávez de la O
%A Pedro A. Castillo
%A Juan Angel García
%A Francisco J. Rodriguez
%A Francisco Fernández de Vega
%T A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
%J Computer Science and Information Systems
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Josefa Díaz Álvarez; Franciso Chávez de la O; Pedro A. Castillo; Juan Angel García; Francisco J. Rodriguez; Francisco Fernández de Vega. A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms. Computer Science and Information Systems, Tome 15 (2018) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2018_15_3_a11/