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Volumn 70, Issue 16-18, 2007, Pages 2651-2658

An evolutive algorithm for wind farm optimal design

Author keywords

Evolutive algorithm; Genetic algorithm; Optimization; Wind farms

Indexed keywords

DESIGN; EARNINGS; INVESTMENTS; OPTIMIZATION; POWER GENERATION; PROFITABILITY; WIND POWER;

EID: 34548147735     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.05.017     Document Type: Article
Times cited : (119)

References (6)
  • 2
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    • Optimization of control parameters for genetic algorithms
    • Grefenstette J.J. Optimization of control parameters for genetic algorithms. IEEE Trans. Syst. Man Cybernet. SMC-16 (1986) 122-128
    • (1986) IEEE Trans. Syst. Man Cybernet. , vol.SMC-16 , pp. 122-128
    • Grefenstette, J.J.1
  • 4
    • 85199458223 scopus 로고    scopus 로고
    • N. Jenkins, Electrical design of wind farms, in: Proceedings IEEE/NTUA Athens Power Tech Conference, Athens, Greece, September 5-8, 1993, pp. 990-994.
  • 5
    • 0027578924 scopus 로고
    • Engineering wind farms
    • Jenkins N. Engineering wind farms. Power Eng. J. (1993) 53-60
    • (1993) Power Eng. J. , pp. 53-60
    • Jenkins, N.1
  • 6
    • 0001808407 scopus 로고
    • Genetic algorithms, nature's way to search for the best
    • Spillman R. Genetic algorithms, nature's way to search for the best. Dr Dobb's J. (1993) 26-30
    • (1993) Dr Dobb's J. , pp. 26-30
    • Spillman, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.