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首页> 外文期刊>Journal of Computers >A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements
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A Novel Ant Colony Optimization Based Algorithm for Identifying Gene Regulatory Elements

机译:基于新型蚁群优化算法识别基因监管元素

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—It is one of the most important tasks in bioinformatics to identify the regulatory elements in gene sequences. Most of the current algorithms for identifying regulatory elements are easily to converge into a local optimum, and have high time complexity. Therefore, we propose a novel optimization algorithm named ACRI(antcolony- regulatory-identification) for identifying regulatory elements. Based on powerful optimization ability of antcolony algorithm, the algorithm ACRI can not only improve the quality of results, but also solve the problem at a very high speed. Experimental results show that ACRI can obtain higher quality of solutions using less computational time than other traditional algorithms.
机译:- 是生物信息学中最重要的任务之一,以鉴定基因序列中的调节元件。用于识别调节元件的大多数当前算法很容易收敛到局部最佳状态,并且具有高时间复杂度。因此,我们提出了一种名为Acri(antcolony-starmatory-id)的新型优化算法,用于识别监管元素。基于抗思索算法的强大优化能力,算法Acri不仅可以提高结果的质量,还可以以非常高的速度解决问题。实验结果表明,acri可以使用比其他传统算法更少的计算时间获得更高质量的解决方案。

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