Homology and linkage in crossover for linear genomes of variable length.

The use of variable-length genomes in evolutionary computation has applications in optimisation when the size of the search space is unknown, and provides a unique environment to study the evolutionary dynamics of genome structure. Here, we revisit crossover for linear genomes of variable length, id...

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Main Authors: Adriaan Merlevede, Henrik Åhl, Carl Troein
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0209712
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author Adriaan Merlevede
Henrik Åhl
Carl Troein
author_facet Adriaan Merlevede
Henrik Åhl
Carl Troein
author_sort Adriaan Merlevede
collection DOAJ
description The use of variable-length genomes in evolutionary computation has applications in optimisation when the size of the search space is unknown, and provides a unique environment to study the evolutionary dynamics of genome structure. Here, we revisit crossover for linear genomes of variable length, identifying two crucial attributes of successful recombination algorithms: the ability to retain homologous structure, and to reshuffle variant information. We introduce direct measures of these properties-homology score and linkage score-and use them to review existing crossover algorithms, as well as two novel ones. In addition, we measure the performance of these crossover methods on three different benchmark problems, and find that variable-length genomes out-perform fixed-length variants in all three cases. Our homology and linkage scores successfully explain the difference in performance between different crossover methods, providing a simple and insightful framework for crossover in a variable-length setting.
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spelling doaj.art-3299757fc9384021a9c3ed600e95b5422022-12-21T18:26:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01141e020971210.1371/journal.pone.0209712Homology and linkage in crossover for linear genomes of variable length.Adriaan MerlevedeHenrik ÅhlCarl TroeinThe use of variable-length genomes in evolutionary computation has applications in optimisation when the size of the search space is unknown, and provides a unique environment to study the evolutionary dynamics of genome structure. Here, we revisit crossover for linear genomes of variable length, identifying two crucial attributes of successful recombination algorithms: the ability to retain homologous structure, and to reshuffle variant information. We introduce direct measures of these properties-homology score and linkage score-and use them to review existing crossover algorithms, as well as two novel ones. In addition, we measure the performance of these crossover methods on three different benchmark problems, and find that variable-length genomes out-perform fixed-length variants in all three cases. Our homology and linkage scores successfully explain the difference in performance between different crossover methods, providing a simple and insightful framework for crossover in a variable-length setting.https://doi.org/10.1371/journal.pone.0209712
spellingShingle Adriaan Merlevede
Henrik Åhl
Carl Troein
Homology and linkage in crossover for linear genomes of variable length.
PLoS ONE
title Homology and linkage in crossover for linear genomes of variable length.
title_full Homology and linkage in crossover for linear genomes of variable length.
title_fullStr Homology and linkage in crossover for linear genomes of variable length.
title_full_unstemmed Homology and linkage in crossover for linear genomes of variable length.
title_short Homology and linkage in crossover for linear genomes of variable length.
title_sort homology and linkage in crossover for linear genomes of variable length
url https://doi.org/10.1371/journal.pone.0209712
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AT carltroein homologyandlinkageincrossoverforlineargenomesofvariablelength