- author = "Vojtech Mrazek and Zdenek Vasicek and Lukas Sekanina",
- title = "Evolutionary Approximation of Software for Embedded Systems: Median Function",
- booktitle = "Genetic Improvement 2015 Workshop",
- year = "2015",
- editor = "William B. Langdon and Justyna Petke and David R. White",
- pages = "795--801",
- address = "Madrid",
- publisher_address = "New York, NY, USA",
- month = "11-15 " # jul,
- organisation = "SIGEvo",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, cartesian genetic programming",
- isbn13 = "978-1-4503-3488-4",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gi2015/evolutionary_approximation_of_software_for_embedded_systems_median_function.pdf",
-
URL = "
http://doi.acm.org/10.1145/2739482.2768416",
-
DOI = "
doi:10.1145/2739482.2768416",
- size = "8 pages",
- abstract = "This paper deals with genetic programming-based improvement of non-functional properties of programs intended for low-cost microcontrollers. As the objective is to significantly reduce power consumption and execution time, the approximate computing scenario is considered in which occasional errors in results are acceptable. The method is based on Cartesian genetic programming and evaluated in the task of approximation of 9-input and 25-input median function. Resulting approximations show a significant improvement in the execution time and power consumption with respect to the accurate median function while the observed errors are moderate.",
-
notes = "Slides
http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/vasicek/mrazek_vasicek_gecco_v2.pdf
Also known as \cite{2768416} Distributed at GECCO-2015.",
