ACOPHY: A simple and general ant colony optimization approach for phylogenetic tree reconstruction

Huy Q. Dinh, Bui Quang Minh, Hoang Xuan Huan, Arndt Von Haeseler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce ACOPHY, a novel framework to apply Ant Colony Optimization (ACO) for phylogenetic reconstruction. ACOPHY overcomes a main drawback of other attempts to reconstruct phylogenies by defining a compact ACO graph that is nicely coupled with the tree space. The proposed graph allows the ants to walk globally through the tree space. Thus, ACOPHY can be generally applied to all well-known optimality criteria in phylogenetics. We compared ACOPHY with the traditional phylogenetic method PHYLIP and obtained slightly better results. This is promising since our current implementation of ACOPHY is still at the proof of concept stage. We list a number of points where ACOPHY can be improved. Once the improvements are integrated, we hope for competitive performance against other recent phylogenetic inference methods.

Original languageEnglish
Title of host publicationSwarm Intelligence - 7th International Conference, ANTS 2010, Proceedings
Pages360-367
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event7th International Conference on Swarm Intelligence, ANTS 2010 - Brussels, Belgium
Duration: 8 Sept 201010 Sept 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6234 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Swarm Intelligence, ANTS 2010
Country/TerritoryBelgium
CityBrussels
Period8/09/1010/09/10

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