- author = "Peter Nordin and Wolfgang Banzhaf",
- title = "Programmatic Compression of Images and Sound",
- booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
- editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
- year = "1996",
- month = "28--31 " # jul,
- keywords = "genetic algorithms, genetic programming",
- pages = "345--350",
- address = "Stanford University, CA, USA",
- publisher = "MIT Press",
-
URL = "
ftp://lumpi.informatik.uni-dortmund.de/pub/biocomp/papers/gp96.ps.gz",
-
URL = "
http://www.cs.mun.ca/~banzhaf/papers/gp96.pdf",
-
URL = "
http://citeseer.ist.psu.edu/384823.html",
- size = "6 pages",
- abstract = "The importance of digital data compression in the future media arena cannot be overestimated. A novel approach to data compression is built on Genetic Programming. This technique has been referred to as {"}programmatic compression{"}. In this paper we apply a variant of programmatic compression to the compression of bitmap images and sampled digital sound. The work presented here constitutes the first successful result of genetic programming applied to compression of real full size images and sound. A compiling genetic programming system is used for efficiency reasons. Different related issues are discussed, such as the handling of very large fitness case sets.",
-
URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap46.pdf",
-
URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
-
notes = "GP-96, notes based on submitted version
Fitness tests divided into chunks. Reference to stack, fixed variables and indexed memory (also save/restore and swap). In some cases fitness based upon frequency domain. ADFs did not {"}significantly improve results{"}. Later {"}chunks{"} (fitness cases) population seeded (2 methods used).",
- size = "9 pages",
