- author = "Josefa {Diaz Alvarez} and Franciso {Chavez de la O} and Pedro A. Castillo and Juan Angel Garcia and Francisco J. Rodriguez and Francisco {Fernandez de Vega}",
- title = "A Fuzzy Rule-Based System to Predict Energy Consumption of Genetic Programming Algorithms",
- journal = "Computer Science and Information Systems",
- year = "2018",
- volume = "15",
- number = "3",
- pages = "235--254",
- month = oct,
- keywords = "genetic algorithms, genetic programming, Green computing, energy-aware computing, performance measurements, evolutionary algorithms",
- ISSN = "1820-0214",
-
URL = "
http://www.comsis.org/pdf.php?id=6908",
-
DOI = "
doi:10.2298/CSIS180110026A",
- size = "20 pages",
- 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 hand held 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 modelling their energy consumption considering different execution devices. In this work, we propose a fuzzy rule-based system to predict energy consumption of a kind of Evolutionary Algorithm, Genetic Programming, given the device in which 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.",
-
notes = "Francisco {Chavez de la O}
The international journal published by ComSIS Consortium http://www.comsis.org/",
