Studying the Performance of Dominance-Based and Indicator-Based Multiobjective Approaches for Phylogenetic Reconstruction
In this website, we present the phylogenetic topologies inferred by using an Indicator-Based Multiobjective Bat Algorithm (IMOBA), a bioinspired proposal to perform phylogenetic searches according to the maximum parsimony and maximum likelihood principles. For each dataset, we provide the following trees from the median hypervolume Pareto front:
  • Maximum parsimony topology.
  • Multiobjective topology selected in accordance with multiobjective decision making procedures: L2 metric (minimum Euclidean distance to an optimal reference point).
  • Maximum likelihood topology.
  • Consensus tree under the extended majority rule (including those relationships which appear in more than 50% of the topologies in the Pareto front).

rbcL_55 trees

mtDNA_186 trees

HIV1_192 trees

RDPII_218 trees

S1482_346 trees

ZILLA_500 trees