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Volumn 3, Issue , 2003, Pages 797-801

An efficient genetic algorithm for optimal large-scale power distribution network planning

Author keywords

Genetic algorithms; Optimization; Power distribution planning

Indexed keywords

CANDIDATE SOLUTION; EFFICIENT GENETIC ALGORITHMS; FIXED COST; GENETIC OPERATORS; NONLINEAR VARIABLES; OPERATIONAL COSTS; POWER DISTRIBUTION NETWORK; POWER DISTRIBUTION PLANNING;

EID: 84861491248     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2003.1304483     Document Type: Conference Paper
Times cited : (26)

References (14)
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    • (2000) IEEE Trans. Power Delivery , vol.15 , pp. 412-416
    • Carvalho, P.M.S.1    Ferreira, L.A.F.M.2    Lobo, F.G.3    Barruncho, M.F.4
  • 8
    • 0035691285 scopus 로고    scopus 로고
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    • Dec.
    • P. M. S. Carvalho, L. A. F. M. Ferreira, and M. F. Barruncho, "On spanning-tree recombination in Evolutionary large-scale network problems - Application to electrical distribution planning, " IEEE Trans. Evolutionary Computation, vol. 5, pp. 623-630, Dec. 2001.
    • (2001) IEEE Trans. Evolutionary Computation , vol.5 , pp. 623-630
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  • 12
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    • J. Gottlieb, B. A. Julstrom, G. R. Raidl, and F. Rothlauf "Prufer numbers: A poor representation of spanning trees for evolutionary search, " Illinois Genetic Algorithms Laboratory, Lfaiversity of Illinois at Urbana-Champaign, Urbana, IL, IlliGAL Report No. 2001001, Jan. 2001.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.