Title :
Cooperative Rec-I-DCM3: A Population-Based Approach for Reconstructing Phylogenies
Author :
Williams, Tiffani L. ; Smith, Marc L.
Author_Institution :
Department of Computer Science Texas A& M University, Email: tlw@cs.tamu.edu
Abstract :
In this paper, we study the use of cooperation as a technique for designing faster algorithms for reconstructing phylogenetic trees. Our focus is on the use of cooperation to reconstruct trees based on maximum parsimony. Our baseline algorithm is Rec-I-DCM3, the best-performing MP algorithm known-to-date. Our results demonstrate that cooperation does improve the performance of the baseline algorithm by at least an order of magnitude in terms of running time. The use of cooperation also established a new best known score on one of our datasets.
Keywords :
Algorithm design and analysis; Computer science; Educational institutions; Evolution (biology); Genetic mutations; History; Humans; Organisms; Pattern analysis; Phylogeny;
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology, 2005. CIBCB '05. Proceedings of the 2005 IEEE Symposium on
Print_ISBN :
0-7803-9387-2
DOI :
10.1109/CIBCB.2005.1594908