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An Improved Genetic Algorithm for Problem of Genome Rearrangement

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【Author】 MO Zhongxi, ZENG Tao School of Mathematics and Statistics, Wuhan University , Wuhan 430072, Hubei, China

【Abstract】 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,π=(π1,…,πn), into a set S(π) containing 2n signed permutations, so that the reversal distance of π is equal to the reversal distance of the optimal signed permutation in S(π).Then analyze the structural features of S(π) by creating a directed graph 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.

【基金】 Supported by the National Natural Science Foun-dation of China (30170214)
  • 【文献出处】 Wuhan University Journal of Natural Sciences ,武汉大学学报(自然科学版.英文版) , 编辑部邮箱 ,2006年03期
  • 【分类号】Q343-33
  • 【下载频次】13
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