Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound
نویسندگان
چکیده
A phylogenetic tree represents the evolutionary history for a collection of organisms. We consider the problem of inferring such a tree given a certain set of data (genomic, proteomic, or even morphological). Given the computational hardness of this problem, exact approaches are inherently limited. However, exact techniques can still be useful to endow heuristic approaches with problem-awareness. We analyze this hybridization in the context of memetic algorithms and branch-and-bound techniques. Focusing in the ultrametric model for phylogenetic inference, we show that this combination can be synergetic. We analyze the parameters involved in this hybrid model, and determine a robust setting for these. A summary of related work is also provided.
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