Homology and linkage in crossover for linear genomes of variable length

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Lund University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Genetik
Originalspråkengelska
Artikelnummere0209712
TidskriftPLoS ONE
Volym14
Utgivningsnummer1
StatusPublished - 2019
PublikationskategoriForskning
Peer review utfördJa

Related projects

Visa alla (1)