Title
Efficient initial pool generation for weighted graph problems using parallel overlap assembly
Abstract
Most DNA computing algorithms for mathematical problems start with combinatorial generation of an initial pool. Several methods for initial-pool generation have been proposed, including hybridization/ligation and mix/split methods. Here, we implement and compare parallel overlap assembly with the hybridization/ligation method. We applied these methods to the molecular algorithm to solve an instance of the graph problem with weighted edges. Our experimental results show that parallel overlap assembly is a better choice in terms of generation speed and material consumption than the hybridization/ligation method. Simulation of parallel overlap assembly was performed to investigate the potential and the limitation of the method.
Year
DOI
Venue
2004
10.1007/11493785_19
DNA
Keywords
Field
DocType
generation speed,efficient initial pool generation,dna computing algorithm,ligation method,better choice,initial-pool generation,weighted graph problem,graph problem,initial pool,split method,combinatorial generation,dna computing
Graph problem,Graph,Computer science,Algorithm,Hamiltonian path problem,Travelling salesman problem,Mathematical problem,DNA computing
Conference
Volume
ISSN
ISBN
3384
0302-9743
3-540-26174-5
Citations 
PageRank 
References 
9
0.93
3
Authors
5
Name
Order
Citations
PageRank
Ji Youn Lee1293.24
Hee-Woong Lim2182.30
Suk-In Yoo3182.30
Byoung-Tak Zhang41571158.56
Tai Hyun Park5324.34