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A Self-Adaptive Cellular Memetic Algorithm for the DNA Fragment Assembly Problem

机译:一种用于DNA片段装配问题的自适应蜂窝膜算法

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The DNA fragment assembly problem is to reconstruct a DNA chain from multiple fragments that have previously been sequenced in a laboratory. This is a critical step in any genomic project, since the resulting chains are the basis of all the work. Therefore, the quality of these chains is a prime importance to the correct development of the project. The methods typically applied to this problem usually encounter difficulties on large instances, so more efficient techniques are necessary. In this context, this work proposes a new method combining a general purpose metaheuristic (an advanced cellular genetic algorithm which automatically regulates the intensity of the search) with a local search method specifically designed for this problem (PALS). This local search method (recently published) finds very accurate solutions in very short times. As a result, our proposal is a very accurate and efficient hybrid technique clearly outperforming the other existing ones.
机译:DNA片段组装问题是从先前在实验室中测序的多个片段重建DNA链。这是任何基因组项目的关键步骤,因为所得到的链是所有工作的基础。因此,这些链的质量是对项目的正确发展的主要重要性。通常应用于此问题的方法通常在大型情况下遇到困难,因此需要更有效的技术。在这种情况下,这项工作提出了一种结合通用成群制的新方法(一种自动调节搜索强度的高级蜂窝遗传算法)与专门为此问题(PALS)专门设计的本地搜索方法。此本地搜索方法(最近发布)在很短的时间内找到非常准确的解决方案。因此,我们的提议是一种非常准确和高效的混合技术,显然优于其他现有的混合技术。

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