首页    期刊浏览 2024年11月14日 星期四
登录注册

文章基本信息

  • 标题:A fuzzy rule-based system to predict energy consumption of genetic programming algorithms
  • 作者:Álvarez, Josefa Díaz ; Chávez, Franciso de la O. ; Castillo, Pedro A.
  • 期刊名称:Computer Science and Information Systems
  • 印刷版ISSN:1820-0214
  • 电子版ISSN:2406-1018
  • 出版年度:2018
  • 卷号:15
  • 期号:3
  • 页码:635-654
  • DOI:10.2298/CSIS180110026A
  • 出版社:ComSIS Consortium
  • 摘要: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.
  • 关键词:Green computing; energy-aware computing; performance measurements; evolutionary algorithms
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有