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Multiple sequence alignment based on combining genetic algorithm with chaotic sequences

C. Gao, Wang, B., Zhou, C. J., Zhang, Q., Gao, C., Wang, B., Zhou, C. J., and Zhang, Q., Multiple sequence alignment based on combining genetic algorithm with chaotic sequences, vol. 15, p. -, 2016.

In bioinformatics, sequence alignment is one of the most common problems. Multiple sequence alignment is an NP (nondeterministic polynomial time) problem, which requires further study and exploration. The chaos optimization algorithm is a type of chaos theory, and a procedure for combining the genetic algorithm (GA), which uses ergodicity, and inherent randomness of chaotic iteration. It is an efficient method to solve the basic premature phenomenon of the GA.

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