Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4110
Title: Solving complex problems with evolutionary computation
Contributor(s): Gondro, Cedric  (author)orcid ; Kinghorn, Brian  (author)
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/4110
Abstract: Evolutionary Computation encompasses optimization methods loosely based on biological evolutionary processes. These methods are efficient to find near-optimal solutions in large, complex, non-linear search spaces. This paper sketches a roadmap to their adoption in animal genetics.
Publication Type: Conference Publication
Conference Details: AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23rd - 26th September, 2007
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, p. 272-279
Publisher: Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of Publication: Armidale, Australia
ISSN: 1328-3227
Fields of Research (FoR) 2008: 080108 Neural, Evolutionary and Fuzzy Computation
Socio-Economic Objective (SEO) 2008: 830310 Sheep - Meat
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.aaabg.org/livestocklibrary/2007/gondro272.pdf
Appears in Collections:Conference Publication

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