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Volumn 2, Issue , 2009, Pages 48-52

Improved genetic algorithm with infeasible solution disposing of distribution network reconfiguration

Author keywords

[No Author keywords available]

Indexed keywords

BUS SYSTEMS; CONVERGENCE RATES; DISTRIBUTION NETWORK RECONFIGURATION; FEASIBLE SOLUTION; IMPROVED GENETIC ALGORITHMS; LOCAL OPTIMA; TIE SWITCH;

EID: 70449427724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GCIS.2009.194     Document Type: Conference Paper
Times cited : (25)

References (11)
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  • 2
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    • An improved optimal flow pattern algorithm for distribution network reconfiguration[J]
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  • 3
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    • A Refined Branch- Exchange Algorithm for Distribution Networks Reconfiguration[J]
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    • (2001) Proceedings of the CSEE , vol.21 , Issue.8 , pp. 98-103
    • Peng-xiang, B.1    Liu, J.2    Zhang, W.-Y.3
  • 4
    • 2542499692 scopus 로고    scopus 로고
    • Distribution Network reconstruction based improved genetic algorithm[J]
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    • (2004) Power System Technology , vol.28 , Issue.9 , pp. 71-73
    • Yu, J.-M.1    Cai, L.-M.2
  • 6
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    • Study on infeasible solution of distribution network reconfiguration genetic algorithm [J]
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    • Huang, Y.1    Li, X.2
  • 7
    • 13944252650 scopus 로고    scopus 로고
    • Distribution network reconfiguration based on genetic algorithm using decimal encoding[J]
    • Ma Xiufan, Zhang Lizi. Distribution network reconfiguration based on genetic algorithm using decimal encoding[J]. Transactions of China Electrotechnical Society, 2004,19(10):65-69.
    • (2004) Transactions of China Electrotechnical Society , vol.19 , Issue.10 , pp. 65-69
    • Ma, X.1    Lizi, Z.2
  • 8
    • 0037168882 scopus 로고    scopus 로고
    • Bi Pengxiang, Liu jian, Liu Chunxin, Zhang Wenyuan. A refined genetic algorithm for power distribution network reconfiguration[J]. Automation of ElectricPower System, 2002, 26 (2): 57-61.
    • Bi Pengxiang, Liu jian, Liu Chunxin, Zhang Wenyuan. A refined genetic algorithm for power distribution network reconfiguration[J]. Automation of ElectricPower System, 2002, 26 (2): 57-61.
  • 9
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    • Jin jing,Su yong.Improving crossover and mutation for adaptive genetic algorithm[J]
    • Kuang Hangyu, Jin jing,Su yong.Improving crossover and mutation for adaptive genetic algorithm[J]. Computer Engineering and Applications, 2006,12:93-96.
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    • An Artificial Immune Algorithm to Distribution Network Reconfiguration[J]
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    • Reconfiguration of distribution networks based on fuzzy genetic algorithm[J]
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.