A Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataset

Title
A Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataset
Publication Date
2022-10-25
Author(s)
Loh, Zhi Kang
Van Der Werf, Julius
( supervisor )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Clark, Samuel
( supervisor )
OrcID: https://orcid.org/0000-0001-8605-1738
Email: sclark37@une.edu.au
UNE Id une-id:sclark37
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
DOI
10.25952/579f-5197
UNE publication id
une:1959.11/55525
Abstract
This dataset consists of scripts developed for the research project A Framework for Optimizing Breeding Pairs Using Artificial Intelligence. The scripts are for simulations (in .py format) for each of the chapters, along with results (in .py or .xlsx format). These data and results were generated through simulations, and all results and metadata can be obtained by running the simulation scripts. The scripts have been organized based on chapters, and are simulation scripts that become the basis of this research. Raw metadata from which the results reported in the thesis were based upon can be requested on demand.
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