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
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;
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
DOI :
10.1109/NABIC.2009.5393759