Assisted selection: proposal optimization using Genetic Algorithms

Authors

  • Aurino de Araujo Rego Neto

DOI:

https://doi.org/10.22256/pubvet.v6n19.1378

Keywords:

genetic algorithm, genetic improvement, optimization, assisted selection

Abstract

Advances in computing and information technology has influenced the genetic evaluation procedures, allowing thereby, comparisons of genetic merit of animals between herds, races or countries. The phenomenon of convergence of technologies makes explicit the importance of management information systems against manipulation of large amounts of data from various types of integrations in the search for better answers. As a result, in this article are presented and discussed some trends and applications of evolutionary algorithms focusing on optimizing the selection of animals for assisted mating in animal breeding. This work is characterized as a theoretical test conducted based on literature review.

Published

2016-09-22

Issue

Section

Genética e melhoramento dos animais

How to Cite

Assisted selection: proposal optimization using Genetic Algorithms. (2016). Pubvet, 6(19). https://doi.org/10.22256/pubvet.v6n19.1378

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