An Intelligent Optimization Algorithm for Constructing a DNA Storage Code: NOL-HHO.

ABSTRACT: The high density, large capacity, and long-term stability of DNA molecules make them an emerging storage medium that is especially suitable for the long-term storage of large datasets. The DNA sequences used in storage need to consider relevant constraints to avoid nonspecific hybridization reactions, such as the No-runlength constraint, GC-content, and the Hamming distance. In this work, a new nonlinear control parameter strategy and a random opposition-based learning strategy were used to improve the Harris hawks optimization algorithm (for the improved algorithm NOL-HHO) in order to prevent it from falling into local optima. Experimental testing was performed on 23 widely used benchmark functions, and the proposed algorithm was used to obtain better coding lower bounds for DNA storage.

SUBMITTER: Yin Q 

PROVIDER: S-EPMC7139338 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature