A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms Towards Energy-Aware Bioinspired Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Fernandez:2016:PPSN,

• author = "F. {Fernandez de Vega} and F. Chavez and J. Diaz and J. A. Garcia and P. A. Castillo and Juan J. Merelo and C. Cotta",
• title = "A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms Towards Energy-Aware Bioinspired Algorithms",
• booktitle = "14th International Conference on Parallel Problem Solving from Nature",
• year = "2016",
• editor = "Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter",
• volume = "9921",
• series = "LNCS",
• address = "Edinburgh",
• month = "17-21 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Green computing, Energy-aware computing, Performance measurements, Evolutionary algorithms",
• isbn13 = "978-3-319-45823-6",
• DOI = "doi:10.1007/978-3-319-45823-6_51",
• size = "10 pages",
• abstract = "Energy consumption is a matter of paramount importance in nowadays environmentally conscious society. It is also bound to be a crucial issue in light of the emergent computational environments arising from the pervasive use of networked hand-held devices and wearables. Evolutionary algorithms (EAs) are ideally suited for this kind of environments due to their intrinsic flexibility and adaptiveness, provided they operate on viable energy terms. In this work we analyse the energy requirements of EAs, and particularly one of their main flavours, genetic programming (GP), on several computational platforms and study the impact that parametrisation has on these requirements, paving the way for a future generation of energy-aware EAs. As experimentally demonstrated, handheld devices and tiny computer models mainly used for educational purposes may be the most energy efficient ones when looking for solutions by means of EAs.",
• notes = "PPSN2016",

}

Genetic Programming entries for Francisco Fernandez de Vega Francisco Chavez de la O Josefa Diaz Alvarez Jose Antonio Garcia Munoz Pedro A Castillo Valdivieso Juan Julian Merelo Carlos Cotta

Citations