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Multiverse Optimizer Variants with Chaotic Maps and Fuzzy Logic for Multiple Benchmark Optimization.

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Title: Multiverse Optimizer Variants with Chaotic Maps and Fuzzy Logic for Multiple Benchmark Optimization.
Authors: AMÉZQUITA, LUCIO1, lucio.amezquita19@tectijuana.edu.mx, CORTES-ANTONIO, PROMETEO1, prometeo.cortes@tectijuana.edu.mx, SORIA, JOSE1, jose.sa@tijuana.tecnm.mx, CASTILLO, OSCAR1, ocastillo@tectijuana.mx
Source: Journal of Multiple-Valued Logic & Soft Computing; 2024, Vol. 43 Issue 4-6, p497-522, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180875261
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=aci&AN=180875261
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 26
        StartPage: 497
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      – TitleFull: Multiverse Optimizer Variants with Chaotic Maps and Fuzzy Logic for Multiple Benchmark Optimization.
        Type: main
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            NameFull: AMÉZQUITA, LUCIO
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            NameFull: CORTES-ANTONIO, PROMETEO
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            NameFull: SORIA, JOSE
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            – D: 01
              M: 10
              Text: 2024
              Type: published
              Y: 2024
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              Value: 43
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              Value: 4-6
          Titles:
            – TitleFull: Journal of Multiple-Valued Logic & Soft Computing
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