Inferring Phylogenetic Trees Using Evolutionary Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{cotta:ppsn2002:pp720,
-
author = "Carlos Cotta and Pablo Moscato",
-
title = "Inferring Phylogenetic Trees Using Evolutionary
Algorithms",
-
booktitle = "Parallel Problem Solving from Nature - PPSN VII",
-
address = "Granada, Spain",
-
month = "7-11 " # sep,
-
pages = "720--729",
-
year = "2002",
-
editor = "Juan J. Merelo-Guervos and Panagiotis Adamidis and
Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and
Hans-Paul Schwefel",
-
number = "2439",
-
series = "Lecture Notes in Computer Science, LNCS",
-
publisher = "Springer-Verlag",
-
keywords = "genetic algorithms, genetic programming, Biology and
chemistry, Comparisons of representations",
-
ISBN = "3-540-44139-5",
-
ISBN = "3-540-44139-5",
-
DOI = "doi:10.1007/3-540-45712-7_69",
-
abstract = "We consider the problem of estimating the evolutionary
history of a collection of organisms in terms of a
phylogenetic tree. This is a hard combinatorial
optimization problem for which different EA approaches
are proposed and evaluated. Using two problem instances
of different sizes, it is shown that an EA that
directly encodes trees and uses ad-hoc operators
performs better than several decoder-based EAs, but
does not scale well with the problem size. A
greedy-decoder EA provides the overall best results,
achieving near 100percent success at a lower
computational cost than the remaining approaches.",
- }
Genetic Programming entries for
Carlos Cotta
Pablo Moscato
Citations