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An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources.

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Title: An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources.
Authors: Pitakaso, Rapeepan1, rapeepan.p@ubu.ac.th, Sethanan, Kanchana2, skanch@kku.ac.th, Kumar, Ajay3, akumar@em-lyon.com, Tan, Kim Hua4, kim.tan@nottingham.ac.uk, Nanthasamroeng, Natthapong5, natthapong.n@ubru.ac.th
Source: Annals of Operations Research; Apr2026, Vol. 359 Issue 2, p1771-1820, 50p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192688697
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources.
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Apr2026, Vol. 359 Issue 2, p1771-1820, 50p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192688697
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10479-024-05836-6
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      – Code: eng
        Text: English
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        PageCount: 50
        StartPage: 1771
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      – TitleFull: An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources.
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            NameFull: Pitakaso, Rapeepan
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            NameFull: Sethanan, Kanchana
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            NameFull: Kumar, Ajay
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            – D: 11
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 359
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