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Multi-objective Constrained Optimal Power Flow Based on Enhanced Ant Colony System Algorithm

Bibliographic Details
Title: Multi-objective Constrained Optimal Power Flow Based on Enhanced Ant Colony System Algorithm
Authors: Abdulrasool, Ali Qasim, Al-Bahrani, Layth Tawfeeq
Source: 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE) Advanced Topics in Electrical Engineering (ATEE), 2021 12th International Symposium on. :1-5 Mar, 2021
Relation: 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
Database: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
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PubType: Conference
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  Data: 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE) Advanced Topics in Electrical Engineering (ATEE), 2021 12th International Symposium on. :1-5 Mar, 2021
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  Data: 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/ATEE52255.2021.9425082
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        PageCount: 5
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      – TitleFull: Multi-objective Constrained Optimal Power Flow Based on Enhanced Ant Colony System Algorithm
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          Name:
            NameFull: Abdulrasool, Ali Qasim
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            NameFull: Al-Bahrani, Layth Tawfeeq
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            – D: 25
              M: 03
              Type: published
              Y: 2021
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              Value: 9781665418782
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