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Molecular Solutions For The Set-Partition Problem On Dna-Based Computing


Affiliations
1 Department of Information Management, Southern Taiwan University of Science and Technology, Yuan Kung District, Tainan City, Taiwan, Province of China
 

Consider that the every element in a finite set S having q elements is a positive integer. The set-partition problem is to determine whether there is a subset T ⊆ S such that , ∑XX∈T = ∑XX∈̅T where ̅T = {xl x ∈ S and x ∉ T}. This research demonstrates that molecular operations can be applied to solve the set-partition problem. In order to perform this goal, we offer two DNA-based algorithms, an unsigned parallel adder and a parallel Exclusive-OR (XOR) operation, that formally demonstrate our designed molecular solutions for solving the set-partition problem.

Keywords

DNA-Based Computing, The Set-Partition Problem, the NP-Complete Problems, the NP-Hard Problems.
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  • Molecular Solutions For The Set-Partition Problem On Dna-Based Computing

Abstract Views: 301  |  PDF Views: 130

Authors

Sientang Tsai
Department of Information Management, Southern Taiwan University of Science and Technology, Yuan Kung District, Tainan City, Taiwan, Province of China
Wei-Yeh Chen
Department of Information Management, Southern Taiwan University of Science and Technology, Yuan Kung District, Tainan City, Taiwan, Province of China

Abstract


Consider that the every element in a finite set S having q elements is a positive integer. The set-partition problem is to determine whether there is a subset T ⊆ S such that , ∑XX∈T = ∑XX∈̅T where ̅T = {xl x ∈ S and x ∉ T}. This research demonstrates that molecular operations can be applied to solve the set-partition problem. In order to perform this goal, we offer two DNA-based algorithms, an unsigned parallel adder and a parallel Exclusive-OR (XOR) operation, that formally demonstrate our designed molecular solutions for solving the set-partition problem.

Keywords


DNA-Based Computing, The Set-Partition Problem, the NP-Complete Problems, the NP-Hard Problems.