Phylogenetic Tree Reconstruction Using Self-Adaptive Genetic Algorithm

Authors:
A. Skourikhine
Affiliations:
-
Venue:
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
Year:
2000

Citing 0
Cited 1

A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inference

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation

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Abstract

We have developed a self-adaptive genetic algorithm (GA) for a maximum-likelihood reconstruction of phylogenetic trees using nucleotide sequence data. It resulted in a faster reconstruction of the trees with less computing power and automatic self-adjustment of settings of the optimization algorithm parameters. We focused on the use of GAs with self-adaptive control parameters and GA integration with phylogenetic tree representations. The developed technique is applicable to any nucleotide sequences inferring evolutionary relationships between organisms.