Anfis-based validation of a matrix geometric approach for an M/M/1 queue with two-kind of disaster under hybrid vacation.
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| Title: | Anfis-based validation of a matrix geometric approach for an M/M/1 queue with two-kind of disaster under hybrid vacation. |
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| Authors: | Divya, K.1 (AUTHOR) divyak.maths@gmail.com, Indhira, K.2 (AUTHOR) |
| Source: | RAIRO: Operations Research (2804-7303). Mar/Apr2026, Vol. 60 Issue 2, p809-829. 21p. |
| Subjects: | Queuing theory, Matrix analytic methods, Particle swarm optimization, Bees algorithm, Model validation, Distribution (Probability theory) |
| Abstract: | This study examines a queueing system of M/M/1 type that is subject to two types of disasters while implementing a hybrid vacation policy. The matrix-geometric approach is utilized to calculate the stability prerequisite and stationary probability distribution of the system size. An analysis is conducted utilizing an illustration to examine the impact of system parameters on performance metrics. The ANFIS methodology has been utilized to verify the consistency of the steady-state outcomes. Additionally, a non-linear cost function has been developed and subsequently optimized through the utilization of particle swarm optimization and artificial bee colony optimization techniques. [ABSTRACT FROM AUTHOR] |
| Copyright of RAIRO: Operations Research (2804-7303) is the property of EDP Sciences 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.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193984848 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Anfis-based validation of a matrix geometric approach for an M/M/1 queue with two-kind of disaster under hybrid vacation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Divya%2C+K%2E%22">Divya, K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> divyak.maths@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Indhira%2C+K%2E%22">Indhira, K.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22RAIRO%3A+Operations+Research+%282804-7303%29%22">RAIRO: Operations Research (2804-7303)</searchLink>. Mar/Apr2026, Vol. 60 Issue 2, p809-829. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Queuing+theory%22">Queuing theory</searchLink><br /><searchLink fieldCode="DE" term="%22Matrix+analytic+methods%22">Matrix analytic methods</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Bees+algorithm%22">Bees algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Model+validation%22">Model validation</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study examines a queueing system of M/M/1 type that is subject to two types of disasters while implementing a hybrid vacation policy. The matrix-geometric approach is utilized to calculate the stability prerequisite and stationary probability distribution of the system size. An analysis is conducted utilizing an illustration to examine the impact of system parameters on performance metrics. The ANFIS methodology has been utilized to verify the consistency of the steady-state outcomes. Additionally, a non-linear cost function has been developed and subsequently optimized through the utilization of particle swarm optimization and artificial bee colony optimization techniques. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of RAIRO: Operations Research (2804-7303) is the property of EDP Sciences 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=egs&AN=193984848 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1051/ro/2026015 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 809 Subjects: – SubjectFull: Queuing theory Type: general – SubjectFull: Matrix analytic methods Type: general – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Bees algorithm Type: general – SubjectFull: Model validation Type: general – SubjectFull: Distribution (Probability theory) Type: general Titles: – TitleFull: Anfis-based validation of a matrix geometric approach for an M/M/1 queue with two-kind of disaster under hybrid vacation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Divya, K. – PersonEntity: Name: NameFull: Indhira, K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar/Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 28047303 Numbering: – Type: volume Value: 60 – Type: issue Value: 2 Titles: – TitleFull: RAIRO: Operations Research (2804-7303) Type: main |
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