Code and Data Repository for DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-O...
Code and Data Repository for DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
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English
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This archive is distributed in association with the INFORMS Journal on Computing under the MIT License. The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper (https://doi.org/10.1287/ijoc.2019.0000) by Izuwa Ahanor, Hugh Medal and Andrew Trapp. The snapshot is based on this SHA in the development repository. Important: This code is being developed on an on-going basis at https://github.com/izuwaa/Diversitree. Please go there if you would like to get a more recent version or would like support...
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Code and Data Repository for DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems
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TN_cdi_crossref_primary_10_1287_ijoc_2022_0164_cd
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1287_ijoc_2022_0164_cd
Other Identifiers
ISSN
1091-9856
E-ISSN
1526-5528
DOI
10.1287/ijoc.2022.0164.cd
