• DocumentCode
    511342
  • Title

    Multi-objective optimization of Kullback-Leibler divergence between Indus and Brahmi writing

  • Author

    Das, Sanjoy ; Ahuja, Ashish ; Natarajan, Bala ; Panigrahi, Bijaya K.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Kansas State Univ., Manhattan, KS, USA
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1282
  • Lastpage
    1286
  • Abstract
    In this paper, a method based on multi-objective evolutionary algorithms, is described to establish a correspondence between the ancient Indus script, with its descendant, a script called Brahmi that can be easily read. Our approach, which establishes a map between one or more symbols of the Indus script with each Brahmi character, is a standard problem in combinatorial optimization. As the Indus script has not yet been deciphered, this approach may have far-reaching consequences in archaeological studies.
  • Keywords
    archaeology; combinatorial mathematics; evolutionary computation; natural language processing; optimisation; Brahmi writing; Indus script deciphering; Indus writing; Kullback-Leibler divergence; archaeological study; combinatorial optimization; multiobjective evolutionary algorithms; multiobjective optimization; Bones; Cities and towns; Educational institutions; Evolutionary computation; Frequency; History; Natural languages; Pareto optimization; Seals; Writing; Brahmi; Indus; Kullback-Leibler Divergence; Multi-objective optimization; Pareto front; evolutionary algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5053-4
  • Type

    conf

  • DOI
    10.1109/NABIC.2009.5393759
  • Filename
    5393759