Publication Details

Genetic Improvement for Approximate Computing

SEKANINA, L.; VAŠÍČEK, Z. Genetic Improvement for Approximate Computing. 2nd Workshop on Approximate Computing (WAPCO 2016). Prague: 2016. p. 1-2.

Type

conference paper

Language

English

Authors

Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)

URL

http://wapco.inf.uth.gr/index.html

Abstract

This position paper connects the Genetic Improvement (GI) method, recently established in the search-based software engineering community, with approximate computing, in order to obtain improvements in the cases when errors in computations can be tolerated. It is argued that Genetic Improvement which shares many objectives with the approximate computing can be adopted to solve typical problems in the area of approximate computing.

Published

2016

Pages

1–2

Proceedings

2nd Workshop on Approximate Computing (WAPCO 2016)

Place

Prague

BibTeX

@inproceedings{BUT168447,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček}",
  title="Genetic Improvement for Approximate Computing",
  booktitle="2nd Workshop on Approximate Computing (WAPCO 2016)",
  year="2016",
  pages="1--2",
  address="Prague",
  url="http://wapco.inf.uth.gr/index.html"
}