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ACOPHY: A Simple and General Ant Colony Optimization Approach for Phylogenetic Tree Reconstruction

机译:ACOPHY:系统发育树重建的简单通用蚁群优化方法

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摘要

We introduce ACOPHY, a novel framework to apply Ant Colony Optimization (ACO) for phylogenetic reconstruction. ACOPHY overcomes a main drawback of other attempts to reconstruct phylogenies by defining a compact ACO graph that is nicely coupled with the tree space. The proposed graph allows the ants to walk globally through the tree space. Thus, ACOPHY can be generally applied to all well-known optimality criteria in phylogenetics. We compared ACOPHY with the traditional phylogenetic method PHYLIP and obtained slightly better results. This is promising since our current implementation of ACOPHY is still at the proof of concept stage. We list a number of points where ACOPHY can be improved. Once the improvements are integrated, we hope for competitive performance against other recent phylogenetic inference methods.
机译:我们介绍了ACOPHY,这是一种将蚁群优化(ACO)应用到系统发育重建的新颖框架。 ACOPHY通过定义与树空间良好耦合的紧凑型ACO图,克服了其他尝试重建系统发育的主要缺点。提出的图形允许蚂蚁在树的空间中遍历。因此,ACOPHY通常可以应用于系统发育学中所有众所周知的最佳标准。我们将ACOPHY与传统的系统发育方法PHYLIP进行了比较,并获得了更好的结果。这是有希望的,因为我们当前对ACOPHY的实施仍处于概念验证阶段。我们列出了可以改善ACOPHY的许多方面。整合改进后,我们希望能够与其他最新的系统发育推理方法相比具有竞争优势。

著录项

  • 来源
    《Swarm intelligence》|2010年|p.360-367|共8页
  • 会议地点 Brussels(BE);Brussels(BE)
  • 作者单位

    Center for Integrative Bioinformatics, Vienna, Max F. Perutz Laboratories, University of Vienna, Medical University of Vienna, University of Veterinary Medicine Vienna, Austria,Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna, Austria;

    Center for Integrative Bioinformatics, Vienna, Max F. Perutz Laboratories, University of Vienna, Medical University of Vienna, University of Veterinary Medicine Vienna, Austria;

    Faculty of Information Technology, College of Technology, Hanoi, Vietnam;

    Center for Integrative Bioinformatics, Vienna, Max F. Perutz Laboratories, University of Vienna, Medical University of Vienna, University of Veterinary Medicine Vienna, Austria;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    phylogenetic reconstruction; ant colony optimization;

    机译:系统发育重建蚁群优化;

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