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Better practical algorithms for rSPR distance and hybridization number

Kohei Yamada, Zhi-Zhong Chen, Lusheng Wang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The problem of computing the rSPR distance of two phylogenetic trees (denoted by RDC) is NP-hard and so is the problem of computing the hybridization number of two phylogenetic trees (denoted by HNC). Since they are important problems in phylogenetics, they have been studied extensively in the literature. Indeed, quite a number of exact or approximation algorithms have been designed and implemented for them. In this paper, we design and implement one exact algorithm for HNC and several approximation algorithms for RDC and HNC. Our experimental results show that the resulting exact program is much faster (namely, more than 80 times faster for the easiest dataset used in the experiments) than the previous best and its superiority in speed becomes even more significant for more difficult instances. Moreover, the resulting approximation programs output much better results than the previous bests; indeed, the outputs are always nearly optimal and often optimal. Of particular interest is the usage of the Monte Carlo tree search (MCTS) method in the design of our approximation algorithms. Our experimental results show that with MCTS, we can often solve HNC exactly within short time.
Original languageEnglish
Title of host publication19th International Workshop on Algorithms in Bioinformatics (WABI 2019)
EditorsKatharina T. Huber, Dan Gusfield
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771238
DOIs
Publication statusPublished - Sept 2019
Event19th International Workshop on Algorithms in Bioinformatics (WABI 2019) - Niagara Falls, United States
Duration: 8 Sept 201910 Sept 2019
https://www.dagstuhl.de/dagpub/978-3-95977-123-8
http://acm-bcb.org/WABI/2019/

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume143
ISSN (Print)1868-8969

Conference

Conference19th International Workshop on Algorithms in Bioinformatics (WABI 2019)
Abbreviated titleWABI 2019
PlaceUnited States
CityNiagara Falls
Period8/09/1910/09/19
Internet address

Research Keywords

  • Approximation algorithms
  • Fixed-parameter algorithms
  • Monte Carlo tree search
  • Phylogenetic tree

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