DocumentCode :
3509328
Title :
An Ant Colony Optimization approach to solve the minimum string cover problem
Author :
Ferdous, S.M. ; Das, Anindya ; Rahman, M. Sohel ; Rahman, Md Mustafizur
Author_Institution :
Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka, Bangladesh
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
741
Lastpage :
746
Abstract :
In this paper, we consider the problem of covering a set of strings S with a set of strings C. C is said to cover S if every string in S can be written as a concatenation of a set of strings which are elements of C. We discuss here three different variants of Ant Colony Optimization (ACO) and propose how we can solve the minimum string cover problem using these techniques. Our simulation results show that ACO based approach gives better solution than the existing approximation algorithm for this problem.
Keywords :
ant colony optimisation; formal languages; ant colony optimization approach; minimum string cover problem; string set concatenation; stringology; Ant Colony Optimization; Metaheuristics; String Cover; Stringology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317422
Filename :
6317422
Link To Document :
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