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An Improved Genetic Algorithm for Problem of Genome Rearrangement

机译:基因组重排问题的改进遗传算法

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In view of the fact that the problem of sorting unsigned permutation by reversal is NP-hard, while the problem of sorting signed permutation by reversal can be solved easily, in this paper, we first transform an unsigned permutation of length n, pi =(pi_1, ..., pi_n), into a set S(pi) containing 2n signed permutations, so that the reversal distance of pi is equal to the reversal distance of the optimal signed permutation in S(pi). Then analyze the structural features of S(pi) by creating a directedgraph and induce a new computing model of this question. Finally, an improved genetic algorithm for solving the new model is proposed. Experimental results show that the proposed model and algorithm is very efficient in practice.
机译:鉴于通过逆向排序无符号排列的问题是NP困难的,而通过逆向排序有符号排列的问题很容易解决,在本文中,我们首先变换长度为n的无符号排列pi =( pi_1,...,pi_n)放入包含2n个有符号排列的集合S(pi)中,因此pi的反转距离等于S(pi)中最佳有符号排列的反转距离。然后通过创建一个有向图来分析S(pi)的结构特征,并引入这个问题的新计算模型。最后,提出了一种改进的遗传算法来求解新模型。实验结果表明,所提出的模型和算法在实践中非常有效。

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