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Machine learning-enriched distributionally robust optimization and hybrid decomposition to joint optimization of transportation hub network design and pricing.

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Title: Machine learning-enriched distributionally robust optimization and hybrid decomposition to joint optimization of transportation hub network design and pricing.
Authors: Hosseini Shekarabi, Seyed Ashkan1, s.hosseinishekarabi@ecu.edu.au, Kiani Mavi, Reza1, Romero Macau, Flavio1, Papi, Ali2, Teymouri, Ashkan3
Source: Computers & Operations Research; Feb2026, Vol. 186, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189384714
AccessLevel: 2
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189384714
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cor.2025.107291
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      – Code: eng
        Text: English
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            NameFull: Hosseini Shekarabi, Seyed Ashkan
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            NameFull: Kiani Mavi, Reza
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              Text: Feb2026
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              Y: 2026
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              Value: 186
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