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DNA computing is a new research field, which has been paid attention to by more and more experts with the DNA computing bringing the flying development of mathematics, computer science and other subjects. Because the DNA coding could decrease the emergence of false negative and false positive, it affects the reliability and the accuracy of DNA computing. In the DNA coding, DNA word sets could provide...
Bee Swarm Genetic Algorithm (BSGA), a new efficient algorithm is developed for designing DNA sequences that satisfy some combinatorial and thermodynamic constraints. In BSGA, the optimum individual of population selected as a queen bee and a random population is introduced to reinforce the exploitation of Genetic Algorithm (GA) and increase the diversity of population. Based on the algorithm, a computer...
The core reaction of DNA computing is the specific hybridization, which may results in incorrect or undesirable computations. Therefore, so far much works have focused on designing the DNA sequences to make the molecular computation more reliable. In this paper, we formulate the DNA sequence design as a multi-objective optimization problem and solve it by Genetic Algorithm (GA)/Particle Swarm Optimization...
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