Machine Learning-Guided Dual Heuristics and New Lower Bounds for the Refueling and Maintenance Plann...
Machine Learning-Guided Dual Heuristics and New Lower Bounds for the Refueling and Maintenance Planning Problem of Nuclear Power Plants
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Basel: MDPI AG
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English
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Basel: MDPI AG
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This paper studies the hybridization of Mixed Integer Programming (MIP) with dual heuristics and machine learning techniques, to provide dual bounds for a large scale optimization problem from an industrial application. The case study is the EURO/ROADEF Challenge 2010, to optimize the refueling and maintenance planning of nuclear power plants. Seve...
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Machine Learning-Guided Dual Heuristics and New Lower Bounds for the Refueling and Maintenance Planning Problem of Nuclear Power Plants
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TN_cdi_doaj_primary_oai_doaj_org_article_ec8917fcc9c045e6b9db2b1665bb545d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec8917fcc9c045e6b9db2b1665bb545d
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ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a13080185
