Estimating Genome Reversal Distance by Genetic Algorithm

Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-hard. The best guaranteed error bounded is the 3/2approximation algorithm. However, the problem of sorting signed permutation can be solved easily. Fast algorithms have been developed both for finding the sorting sequence and finding the reversal distance of signed permutation. In this paper, we present a way to view the problem of sorting unsigned permutation as signed permutation. And the problem can then be seen as searching an optimal signed permutation in all n 2 corresponding signed permutations. We use genetic algorithm to conduct the search. Our experimental result shows that the proposed method outperforms the 3/2-approximation algorithm.

• Type: Journal
• Year: 2004
• Where: CORR
• Authors: Andy Auyeung, Ajith Abraham
• Keywords: CORR 2004, Education, Permutations, Sorting, Unsigned Permutation