Evolutionary Computing in Approximate Circuit Design and Optimization

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

@InProceedings{Sekanina:2015:WAPCO,

• author = "Lukas Sekanina and Zdenek Vasicek",
• title = "Evolutionary Computing in Approximate Circuit Design and Optimization",
• booktitle = "1st Workshop On Approximate Computing, WAPCO 2015",
• year = "2015",
• editor = "Nikolaos Bellas and Georgios Karakonstantis and Costas Bekas",
• address = "Amsterdam, Holland",
• month = "19 " # jan,
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, EHW, NSGA-II",
• URL = "http://wapco.inf.uth.gr/papers/SESSION1/WAPCO_1_5.pdf",
• size = "6 pages",
• abstract = "In this paper, we survey the methods that have been proposed to functional approximation of digital circuits. The main focus is on evolutionary computing, particularly Cartesian genetic programming (CGP), which can provide, in an automated manner, very good compromises between key circuit parameters. This is demonstrated in a case study -- evolutionary approximation of an 8-bit multiplier.",
• notes = "slides http://wapco.inf.uth.gr/presentations/SESSION1/WAPCO_1_5.pdf Hypothesis:Much better approximations can be discovered than conventional methods can provide. In conjunction with HiPEAC 2015 http://wapco.inf.uth.gr",

}

Genetic Programming entries for Lukas Sekanina Zdenek Vasicek

Citations