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Volumn , Issue , 2009, Pages 921-925

Multi-objective parameter optimization of a series hybrid electric vehicle using evolutionary algorithms

Author keywords

Control strategy; Evolutional algorithms; Hybrid electric vehicle; Multiobjective optimization

Indexed keywords

COMPONENT SIZING; CONTROL STRATEGIES; EVOLUTIONAL ALGORITHM; HYBRID ELECTRIC VEHICLE; HYBRID POWERTRAIN; HYBRID VEHICLES; MULTI OBJECTIVE; OPTIMAL SOLUTIONS; OPTIMIZATION METHOD; OPTIMIZATION OF COMPONENTS; OPTIMIZATION PROBLEMS; RESEARCH ACTIVITIES; SHOW THROUGH; VEHICLE PERFORMANCE;

EID: 72149123902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2009.5289749     Document Type: Conference Paper
Times cited : (46)

References (15)
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  • 4
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  • 6
    • 68649107082 scopus 로고    scopus 로고
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    • Gao, W.1    Mi, C.2
  • 7
    • 44849112468 scopus 로고    scopus 로고
    • Intelligent vehicle power management - An overview
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  • 8
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    • Multi-objective optimization of HEV fuel economy and emissions using evolutionary computation
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  • 10
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    • Preferences and their application in evolutionary multiobjective optimization
    • Feb
    • D. Cvetkovic, and I. C. Parmee, "Preferences and their application in evolutionary multiobjective optimization, " Evolutionary Computation, IEEE Transactions on, Vol. 6, No. 1, pp. 42-57, Feb 2002.
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    • Cvetkovic, D.1    Parmee, I.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.