A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms
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Green computingEnergy-aware computingPerformance measurementsEvolutionary algorithms
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.
SponsorshipWe 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.
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.