Quantum-Inspired Genetic Programming for Single-End Line-to-Ground Fault Location in Transmission Lines with Resilience to High Impedance Faults.

Saved in:
Bibliographic Details
Title: Quantum-Inspired Genetic Programming for Single-End Line-to-Ground Fault Location in Transmission Lines with Resilience to High Impedance Faults.
Authors: Al-Qaraghuli, Mohammed H.1, mohammed.hameed@imamaladham.edu.iq, Khaleel, Zienab R.1, zainebalani81@imamaladham.edu.iq, Zaky, Mohamed S.2, mohamed.zaky@nbu.edu.sa, Elgamasy, Mahmoud M.3, mahmoud.elgamasy@sh-eng.menofia.edu.eg, Sharaf, Adel M.4, profdramsharaf@icloud.com, Rady, Asmaa A.3, asmaa.rady@dmu.edu.eg
Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31533-31539, 7p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192212607
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantum-Inspired Genetic Programming for Single-End Line-to-Ground Fault Location in Transmission Lines with Resilience to High Impedance Faults.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Al-Qaraghuli%2C+Mohammed+H%2E%22">Al-Qaraghuli, Mohammed H.</searchLink><relatesTo>1</relatesTo>, <i>mohammed.hameed@imamaladham.edu.iq</i><br /><searchLink fieldCode="AU" term="%22Khaleel%2C+Zienab+R%2E%22">Khaleel, Zienab R.</searchLink><relatesTo>1</relatesTo>, <i>zainebalani81@imamaladham.edu.iq</i><br /><searchLink fieldCode="AU" term="%22Zaky%2C+Mohamed+S%2E%22">Zaky, Mohamed S.</searchLink><relatesTo>2</relatesTo>, <i>mohamed.zaky@nbu.edu.sa</i><br /><searchLink fieldCode="AU" term="%22Elgamasy%2C+Mahmoud+M%2E%22">Elgamasy, Mahmoud M.</searchLink><relatesTo>3</relatesTo>, <i>mahmoud.elgamasy@sh-eng.menofia.edu.eg</i><br /><searchLink fieldCode="AU" term="%22Sharaf%2C+Adel+M%2E%22">Sharaf, Adel M.</searchLink><relatesTo>4</relatesTo>, <i>profdramsharaf@icloud.com</i><br /><searchLink fieldCode="AU" term="%22Rady%2C+Asmaa+A%2E%22">Rady, Asmaa A.</searchLink><relatesTo>3</relatesTo>, <i>asmaa.rady@dmu.edu.eg</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Feb2026, Vol. 16 Issue 1, p31533-31539, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192212607
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.48084/etasr.12363
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 31533
    Titles:
      – TitleFull: Quantum-Inspired Genetic Programming for Single-End Line-to-Ground Fault Location in Transmission Lines with Resilience to High Impedance Faults.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Al-Qaraghuli, Mohammed H.
      – PersonEntity:
          Name:
            NameFull: Khaleel, Zienab R.
      – PersonEntity:
          Name:
            NameFull: Zaky, Mohamed S.
      – PersonEntity:
          Name:
            NameFull: Elgamasy, Mahmoud M.
      – PersonEntity:
          Name:
            NameFull: Sharaf, Adel M.
      – PersonEntity:
          Name:
            NameFull: Rady, Asmaa A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 22414487
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Engineering, Technology & Applied Science Research
              Type: main
ResultId 1