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A 1.375-approximation algorithm for unsigned translocation sorting
Journal of Computer and System Sciences ( IF 1.129 ) Pub Date : 2020-05-22 , DOI: 10.1016/j.jcss.2020.05.004
Lianrong Pu; Daming Zhu; Haitao Jiang

Translocation has been long learned as a basic operation to rearrange the structure of a genome. Translocation sorting asks to find a shortest sequence of translocations that transforms one genome into another, which has attracted attention of many scientists in algorithm design. Signed translocation sorting can be solved in polynomial time. Unsigned translocation sorting turns out to be NP-Hard and Max-SNP-Hard. The best known approximation algorithm by now for unsigned translocation sorting can achieve a performance ratio 1.408. In this paper, we propose a new approximation algorithm for unsigned translocation sorting which can achieve a asymptotic performance ratio 1.375.
更新日期:2020-05-22

 

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