Evolution of Approximate Functions for Image Thresholding

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Bidlo:2021:SSCI,

• author = "Michal Bidlo",
• booktitle = "2021 IEEE Symposium Series on Computational Intelligence (SSCI)",
• title = "Evolution of Approximate Functions for Image Thresholding",
• year = "2021",
• abstract = "This paper investigates the use of approximate addition and multiplication for designing image thresholding functions. Cartesian Genetic Programming is applied for the evolutionary design of circuits using various implementations of the approximate operations. The results are presented for various experimental setups and compared with the case when only exact addition and multiplication is considered. It will be shown that for some range of error metrics of the approximate operations the evolution provides solutions that are better than those provided by the exact operations. Moreover, approximate components allows reducing the implementation area of the resulting functions.",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming",
• DOI = "doi:10.1109/SSCI50451.2021.9659876",
• month = dec,
• notes = "Also known as \cite{9659876}",

}

Genetic Programming entries for Michal Bidlo

Citations