Search

The design of DNA sequences is one of the most practical and important research topics in DNA computing. We adopt taboo search algorithm and improve the method for the systematic design of equal-length DNA sequences, which can satisfy certain combinatorial and thermodynamic constraints. Using taboo search algorithm, our method can avoid trapping into local optimization and can find a set of good DNA sequences satisfying required constraints.

DNA computing has the potential to tackle computationally difficult problems that have real-world implications. The parallel search capabilities of DNA make it a valuable tool for approaching intractable computational problems, for which conventional computers have limited potentials. Up to now, many accomplishments have been achieved to improve its performance and increase its reliability. In this paper, the coloring problem has been solved by means of molecular biology techniques. The coloring problem is a well-known NP-complete problem. This work represents further evidence for the ability of DNA computing to solve NP-complete problems.

DNA computing was proposed for solving a class of intractable computational problems, of whichthe computing time will grow exponentially with the problem size. Up to now. many achievements have been made to improve its performance and increase its reliability. It has been shownmany times that the surface-based DNA computing technique has very low error rate, but the technique has not been widely used in the DNA computing algorithms design. In this paper, a surface-based DNA computing algorithm for minimal vertex cover problem, a problem well-known for its exponential difficulty, is introduced. This work provides further evidence for the ability of surface-based DNA computing in solving NP-complete problems.