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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 09 > No. 2

 
   

A Genetic Algorithm to Solve the Subset Sum Problem based on Parallel Computing

PP: 921-925
Author(s)
Lei Li, Kai Zhao, Zuwen Ji,
Abstract
The subset sum problem is to find subsets in a given number set, meanwhile number sum of the subset is equal to appointed value. It is a classical NP-complete problem in graph theory. It can be solved by the electronic computer in exponential time. In this paper, we consider a DNA procedure for solving the subset sum problem in the Adleman-Lipton model. The procedure works in O(n) steps for the subset sum problem of an undirected graph with n vertices. The innovation of the procedure is the ingenious choice of the vertices strands’ length, which can get the solution of the problem in proper length range and simultaneity simplify the complexity of the computation.

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