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Volumn 42, Issue 2, 2007, Pages 233-250

Optimum design of rolling element bearings using genetic algorithms

Author keywords

Design; Genetic algorithms; Rolling element bearings

Indexed keywords

FATIGUE OF MATERIALS; GENETIC ALGORITHMS; MACHINE DESIGN; OPTIMIZATION;

EID: 33845321060     PISSN: 0094114X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechmachtheory.2006.02.004     Document Type: Article
Times cited : (109)

References (20)
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    • Maday C.J. The maximum principle approach to the optimum one-dimensional journal bearing. Transactions of ASME, Journal of Lubrication Technology 92 2 (1970) 482-489
    • (1970) Transactions of ASME, Journal of Lubrication Technology , vol.92 , Issue.2 , pp. 482-489
    • Maday, C.J.1
  • 13
    • 0028315780 scopus 로고
    • Augmented Lagrangian genetic algorithm structural optimization
    • Adeli H., and Cheng N. Augmented Lagrangian genetic algorithm structural optimization. Journal of Aerospace Engineering 7 1 (1994) 104-118
    • (1994) Journal of Aerospace Engineering , vol.7 , Issue.1 , pp. 104-118
    • Adeli, H.1    Cheng, N.2
  • 14
    • 0342484444 scopus 로고    scopus 로고
    • Evaluation of crossover techniques in genetic algorithm based optimum structural design
    • Hasancebi O., and Erbatur F. Evaluation of crossover techniques in genetic algorithm based optimum structural design. Computers and Structures 78 1-3 (2000) 435-448
    • (2000) Computers and Structures , vol.78 , Issue.1-3 , pp. 435-448
    • Hasancebi, O.1    Erbatur, F.2
  • 16
    • 0034927249 scopus 로고    scopus 로고
    • A design method of an automotive wheel bearing unit with discrete design variables using genetic algorithms
    • Choi D.H., and Yoon K.C. A design method of an automotive wheel bearing unit with discrete design variables using genetic algorithms. Transactions of ASME, Journal of Tribology 123 1 (2001) 181-187
    • (2001) Transactions of ASME, Journal of Tribology , vol.123 , Issue.1 , pp. 181-187
    • Choi, D.H.1    Yoon, K.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.