Energy Optimisation via Genetic Improvement A SBSE technique for a new era in Software Development

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Bruce:2015:gi,

• author = "Bobby R. Bruce",
• title = "Energy Optimisation via Genetic Improvement A {SBSE} technique for a new era in Software Development",
• booktitle = "Genetic Improvement 2015 Workshop",
• year = "2015",
• editor = "William B. Langdon and Justyna Petke and David R. White",
• pages = "819--820",
• address = "Madrid",
• publisher_address = "New York, NY, USA",
• month = "11-15 " # jul,
• organisation = "SIGEvo",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, GI, Search Based Software En-gineering, energy efficiency, energy consumption, energy optimisation",
• isbn13 = "978-1-4503-3488-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gi2015/energy_optimisation_via_genetic_improvement.pdf",
• URL = "http://doi.acm.org/10.1145/2739482.2768420",
• DOI = "doi:10.1145/2739482.2768420",
• size = "2 pages",
• abstract = "The discipline of Software Engineering has arisen during a time in which developers rarely concerned themselves with the energy efficiency of their software. Due to the growth in both mobile devices and large server clusters this period is undoubtedly coming to an end and, as such, new tools for creating energy-efficient software are required. This paper takes the position that Genetic Improvement, a Search-Based Software Engineering technique, has the potential to aid developers in refactoring their software to a more energy-efficient state; allowing focus to remain on functional requirements while leaving concerns over energy consumption to an automated process.",
• notes = "Slides: http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/bruce/EnergyReductionViaGeneticImprovement.pdf position paper",

}

Genetic Programming entries for Bobby R Bruce

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