• DocumentCode
    1496153
  • Title

    An Approximation Algorithm for the Noah´s Ark Problem with Random Feature Loss

  • Author

    Hickey, Glenn ; Blanchette, Mathieu ; Carmi, Paz ; Maheshwari, Anil ; Zeh, Norbert

  • Author_Institution
    Sch. of Comput. Sci., McGill Univ., Montreal, QC, Canada
  • Volume
    8
  • Issue
    2
  • fYear
    2011
  • Firstpage
    551
  • Lastpage
    556
  • Abstract
    The phylogenetic diversity (PD) of a set of species is a measure of their evolutionary distinctness based on a phylogenetic tree. PD is increasingly being adopted as an index of biodiversity in ecological conservation projects. The Noah´s Ark Problem (NAP) is an NP-Hard optimization problem that abstracts a fundamental conservation challenge in asking to maximize the expected PD of a set of taxa given a fixed budget, where each taxon is associated with a cost of conservation and a probability of extinction. Only simplified instances of the problem, where one or more parameters are fixed as constants, have as of yet been addressed in the literature. Furthermore, it has been argued that PD is not an appropriate metric for models that allow information to be lost along paths in the tree. We therefore generalize the NAP to incorporate a proposed model of feature loss according to an exponential distribution and term this problem NAP with Loss (NAPL). In this paper, we present a pseudopolynomial time approximation scheme for NAPL.
  • Keywords
    biology computing; computational complexity; ecology; evolution (biological); genetics; random processes; trees (mathematics); NAPL; NP-Hard optimization problem; Noah´s Ark problem; approximation algorithm; biodiversity index; ecological conservation projects; evolutionary distinctness; phylogenetic diversity; phylogenetic tree; pseudopolynomial time approximation scheme; random feature loss; taxon; Abstracts; Approximation algorithms; Biodiversity; Computer science; Cost function; Ecosystems; Exponential distribution; Loss measurement; Phylogeny; Resource management; Noah´s ark problem; approximation algorithm.; phylogenetic diversity; Algorithms; Biodiversity; Computational Biology; Phylogeny;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2010.37
  • Filename
    5467035