GI4GI: Improving Genetic Improvement Fitness Functions

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{Harman:2015:gi,

• author = "Mark Harman and Justyna Petke",
• title = "{GI4GI}: Improving Genetic Improvement Fitness Functions",
• booktitle = "Genetic Improvement 2015 Workshop",
• year = "2015",
• editor = "William B. Langdon and Justyna Petke and David R. White",
• pages = "793--794",
• address = "Madrid",
• publisher_address = "New York, NY, USA",
• month = "11-15 " # jul,
• organisation = "SIGEvo",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement",
• isbn13 = "978-1-4503-3488-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gi2015/giforgi.pdf",
• URL = "http://doi.acm.org/10.1145/2739482.2768415",
• DOI = "doi:10.1145/2739482.2768415",
• size = "2 pages",
• abstract = "Genetic improvement (GI) has been successfully used to optimise non-functional properties of software, such as execution time, by automatically manipulating program's source code. Measurement of non-functional properties, however, is a non-trivial task; energy consumption, for instance, is highly dependant on the hardware used. Therefore, we propose the GI4GI framework (and two illustrative applications). GI4GI first applies GI to improve the fitness function for the particular environment within which software is subsequently optimised using traditional GI.",
• notes = "Slides: http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/petke/gi4gi.pdf position paper",

}

Genetic Programming entries for Mark Harman Justyna Petke

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