• DocumentCode
    1254373
  • Title

    Greedy and heuristic algorithms for codes and colorings

  • Author

    Etzion, Tuvi ; Ostergard, Patric R J

  • Author_Institution
    Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel
  • Volume
    44
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    382
  • Lastpage
    388
  • Abstract
    Many of the fundamental coding problems can be represented as graph problems. These problems are often intrinsically difficult and unsolved even if the code length is relatively small. With the motivation to improve lower bounds on the sizes of constant weight codes and asymmetric codes, we suggest a few greedy algorithms and other heuristic methods, which result in new, record-breaking codes. Some of the heuristics used are based on tabu search and evolutionary algorithms. Tables of new codes are presented
  • Keywords
    codes; graph theory; search problems; asymmetric codes; code length; code size; colorings; constant weight codes; evolutionary algorithms; graph problems; greedy algorithms; heuristic algorithms; heuristic methods; lower bounds; minimum Hamming distance; minimum asymmetric distance; tabu search; Approximation methods; Computer science; Evolutionary computation; Extraterrestrial measurements; Graph theory; Greedy algorithms; Heuristic algorithms; Space technology; Testing; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.651069
  • Filename
    651069