BWK-FA: A Biologically Inspired Hybrid Algorithm for Benchmark and RNP Optimization.
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| Title: | BWK-FA: A Biologically Inspired Hybrid Algorithm for Benchmark and RNP Optimization. |
|---|---|
| Authors: | Yejiao, Wang1,2, Alduais, Nayef Abdulwahab Mohammed1 |
| Source: | TEM Journal. Feb2026, Vol. 15 Issue 1, p129-146. 18p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192932893 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192932893 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18421/TEM151-12 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 129 Titles: – TitleFull: BWK-FA: A Biologically Inspired Hybrid Algorithm for Benchmark and RNP Optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yejiao, Wang – PersonEntity: Name: NameFull: Alduais, Nayef Abdulwahab Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22178309 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: TEM Journal Type: main |
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