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Volumn 152, Issue 5, 2005, Pages 705-713

Fast technique for unit commitment by genetic algorithm based on unit clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; CONSTRAINT THEORY; LARGE SCALE SYSTEMS; NUMERICAL ANALYSIS; PROBLEM SOLVING;

EID: 26244441120     PISSN: 13502360     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ip-gtd:20045299     Document Type: Article
Times cited : (43)

References (14)
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    • Simulated annealing with local search-a hybrid algorithm for unit commitment
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    • Purushothama, G.K.1    Jenkins, L.2
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    • A new unit commitment method
    • Li, C., Johnson, R.B., and Svoboda, A.J.: 'A new unit commitment method', IEEE Trans., 1997, PWRS-12, (1), pp. 113-118
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    • Richter, C.W.1    Sheble, G.B.2
  • 7
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    • Unit commitment by Lagrangian relaxation and genetic algorithm
    • Cheng, C.-P., Liu, C.-W., and Liu, C.-C.: 'Unit commitment by Lagrangian relaxation and genetic algorithm', IEEE Trans., 2000, PWRS-15, (2), pp. 707-714
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    • Cheng, C.-P.1    Liu, C.-W.2    Liu, C.-C.3
  • 8
    • 0030212517 scopus 로고    scopus 로고
    • Genetic-based unit commitment problem
    • Maifed, T.T., and Sheble, G.B.: 'Genetic-based unit commitment problem', IEEE Trans., 1996, PWRS-11, (3), pp. 1359-1365
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.