Academic Journal
An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics.
| Τίτλος: | An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics. |
|---|---|
| Συγγραφείς: | Yordanova, Zornitsa, Nozari, Hamed |
| Πηγή: | Algorithms; Mar2026, Vol. 19 Issue 3, p198, 25p |
| Θεματικοί όροι: | Multi-objective optimization, Digital twin, Stochastic models, System dynamics, Crisis management, Decision support systems |
| Περίληψη: | Humanitarian logistics faces challenges such as conflicting objectives, severe uncertainty, temporal dynamics, and the need for interpretable decisions. This research presents an integrated decision-making framework that simultaneously considers fuzzy uncertainty, system dynamics, and adaptive decision logic. Operational uncertainties are modeled using triangular fuzzy numbers and a dynamic representation of the system allows for continuous updating of decisions over time. Computational results based on simulated data show that the proposed framework is capable of generating stable, diverse, and interpretable solutions. An improvement in the average quality of the Pareto front of more than 5% and a reduction in the distance from the reference front of about 30% are observed compared to non-adaptive approaches. Also, stability and dynamic behavior analyses show that the decisions are robust to changing environmental conditions and parameters and have high adaptability. These features make the proposed framework a reliable tool for decision support in relief operations. [ABSTRACT FROM AUTHOR] |
| Copyright of Algorithms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=19994893&ISBN=&volume=19&issue=3&date=20260301&spage=198&pages=198-222&title=Algorithms&atitle=An%20Agentic%20Digital%20Twin%20Framework%20for%20Fuzzy%20Multi-Objective%20Optimization%20in%20Dynamic%20Humanitarian%20Logistics.&aulast=Yordanova%2C%20Zornitsa&id=DOI:10.3390/a19030198 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
|---|---|
| Header | DbId: edb DbLabel: Complementary Index An: 192591287 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.7568359375 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yordanova%2C+Zornitsa%22">Yordanova, Zornitsa</searchLink><br /><searchLink fieldCode="AR" term="%22Nozari%2C+Hamed%22">Nozari, Hamed</searchLink> – Name: TitleSource Label: Source Group: Src Data: Algorithms; Mar2026, Vol. 19 Issue 3, p198, 25p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+models%22">Stochastic models</searchLink><br /><searchLink fieldCode="DE" term="%22System+dynamics%22">System dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Crisis+management%22">Crisis management</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Humanitarian logistics faces challenges such as conflicting objectives, severe uncertainty, temporal dynamics, and the need for interpretable decisions. This research presents an integrated decision-making framework that simultaneously considers fuzzy uncertainty, system dynamics, and adaptive decision logic. Operational uncertainties are modeled using triangular fuzzy numbers and a dynamic representation of the system allows for continuous updating of decisions over time. Computational results based on simulated data show that the proposed framework is capable of generating stable, diverse, and interpretable solutions. An improvement in the average quality of the Pareto front of more than 5% and a reduction in the distance from the reference front of about 30% are observed compared to non-adaptive approaches. Also, stability and dynamic behavior analyses show that the decisions are robust to changing environmental conditions and parameters and have high adaptability. These features make the proposed framework a reliable tool for decision support in relief operations. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Algorithms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=192591287 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/a19030198 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 198 Subjects: – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Stochastic models Type: general – SubjectFull: System dynamics Type: general – SubjectFull: Crisis management Type: general – SubjectFull: Decision support systems Type: general Titles: – TitleFull: An Agentic Digital Twin Framework for Fuzzy Multi-Objective Optimization in Dynamic Humanitarian Logistics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yordanova, Zornitsa – PersonEntity: Name: NameFull: Nozari, Hamed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19994893 Numbering: – Type: volume Value: 19 – Type: issue Value: 3 Titles: – TitleFull: Algorithms Type: main |
| ResultId | 1 |