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Volumn , Issue , 2006, Pages 2424-2429

Concurrent optimization for parameters of powertrain and control system of hybrid electric vehicle based on multi-objective genetic algorithms

Author keywords

Concurrent optimization; Hybrid electric vehicle(HEV); Multi Objective genetic algorithms(MOGAs)

Indexed keywords

CONCURRENT OPTIMIZATION; HYBRID ELECTRIC VEHICLE(HEV); MULTI-OBJECTIVE GENETIC ALGORITHMS(MOGA);

EID: 34250725561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SICE.2006.315114     Document Type: Conference Paper
Times cited : (40)

References (16)
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  • 8
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    • Kimura, A.1    Abe, T.2    Saski, S.3
  • 9
    • 0032141635 scopus 로고    scopus 로고
    • A multi-objective genetic local search algorithm and its application to flowshop scheduling
    • H. Ishibuchi and T. Murata, "A multi-objective genetic local search algorithm and its application to flowshop scheduling," IEEE Transactions on System, Man, and. Cybernetics, vol. 28(c), pp. 392-403, 1998.
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    • Ishibuchi, H.1    Murata, T.2
  • 10
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    • Fonseca, C.M.1    Fleming, P.J.2
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    • S. Venkatraman, G. Yen, "A simple elitist genetic algorithm for constrained optimization", 2004 Congress on Evolutionary Computation, Vol. 1, pp. 288-295, 2004.
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    • Venkatraman, S.1    Yen, G.2
  • 16
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    • ADVISOR: A Systems Analysis Tool for Advanced Vehicle Modeling
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.