At present, huge amounts of data are being produced every second, a situation that will gradually overwhelm current storage technology. DNA is a storage medium that features high storage density and long-term stability and is now considered to be a feasible storage solution. Errors are easily made during the sequencing and synthesis of DNA, however. In order to reduce the error rate, novel uncorrelated address constrain are reported, and a Damping Multi-Verse Optimizer (DMVO)algorithm is proposed to construct a set of DNA coding, which is used as the non-payload. The DMVO algorithm exchanges objects through black/white holes in order to achieve a stable state and adds damping factors as disturbances. Compared with previous work, the coding set obtained by the DMVO algorithm is larger in size and of higher quality. The results of this study reveal that the size of the DNA storage coding set obtained by the DMVO algorithm increased by 4–16 percent, and the variance of the melting temperature decreased by 3–18 percent.

中文翻译：

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用DMVO算法设计DNA存储的不相关地址约束

目前，每秒都在产生大量数据，这种情况将逐渐压倒当前的存储技术。DNA是一种存储介质，具有高存储密度和长期稳定性的特点，现在被认为是一种可行的存储方案。然而，在 DNA 的测序和合成过程中很容易出错。为了降低错误率，提出了一种新的不相关地址约束，提出了一种阻尼多节优化器（DMVO）算法来构建一组DNA编码，作为非有效载荷。DMVO 算法通过黑/白孔交换对象以达到稳定状态并添加阻尼因子作为干扰。与以往的工作相比，DMVO算法得到的编码集规模更大，质量更高。