Title :
A discrete particle swarm optimization algorithm for phylogenetic tree reconstruction
Author :
Lv, Hui-Ying ; Zhou, Wen-Gang ; Zhou, Chun-Guang
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
The similarity of molecular mechanisms of the organisms that have been studied strongly suggests that all organisms of Earth had a common ancestor. Thus any set of species is related, and the relationship is called a phylogeny. Usually a phylogenetic tree can represent the relationship. The task of phylogenetics is to infer this tree from observations upon the existing organisms. At present, the accuracy of the tree is not still ideal enough to reconstruction through the computer simulation. This paper introduce particle swarm optimization algorithm, and the discrete particle swarm optimization algorithm is used to inference and optimize the phylogenetic tree for the first time, and show the actual effect of this algorithm through the experiment.
Keywords :
genetic algorithms; inference mechanisms; optimisation; trees (mathematics); discrete particle swarm optimization algorithm; phylogenetic tree reconstruction; phylogeny; Birds; Computer science; Computer simulation; Educational institutions; Electrical capacitance tomography; Inference algorithms; Machine learning algorithms; Organisms; Particle swarm optimization; Phylogeny;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382252