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Volumn , Issue , 2009, Pages 169-174

Hybrid approach using GA and PSO for alternator design

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS; MACHINE DESIGN; PARTICLE SWARM OPTIMIZATION (PSO); SYNCHRONOUS GENERATORS;

EID: 71049125255     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: 10.1109/SECON.2009.5174070     Document Type: Conference Paper
Times cited : (8)

References (14)
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  • 3
    • 0033314757 scopus 로고    scopus 로고
    • Optimum design of synchronous motor with parameter correction using immune algorithm
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    • Jang, S.1    Suk Yoon, J.2
  • 4
    • 0034260562 scopus 로고    scopus 로고
    • Design and finite element analysis of an outer rotor permanent magnet generator for directly coupled wind turbine applications
    • J. Chen, C. Nayar, L. Xu, "Design and finite element analysis of an outer rotor permanent magnet generator for directly coupled wind turbine applications", Proceedings of the IEEE Trans. on magnetics, Vol. 36, No. 5, 2000, pp. 3802-3809.
    • (2000) Proceedings of the IEEE Trans. on magnetics , vol.36 , Issue.5 , pp. 3802-3809
    • Chen, J.1    Nayar, C.2    Xu, L.3
  • 5
    • 0037351870 scopus 로고    scopus 로고
    • Design and analysis of permanent magnet generator for automotive applications
    • M. Comanescu, A. Keyhani, Min Dai, "Design and analysis of permanent magnet generator for automotive applications", IEEE Trans. on Energy Conversion, Vol. 18, No. 1, 2003.
    • (2003) IEEE Trans. on Energy Conversion , vol.18 , Issue.1
    • Comanescu, M.1    Keyhani, A.2    Dai, M.3
  • 6
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    • Design and analysis of a 3 KVA, 28V permanent magnet brushless alternator for light combat aircraft
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    • (2006) IEEE Trans. on Industrial Applications , vol.39 , pp. 1665-1669
    • Singh, B.1    Ravi, J.2
  • 9
    • 0000223431 scopus 로고    scopus 로고
    • Comparison between genetic algorithms and particle swarm optimization
    • Anchorage, AK
    • J. Kennedy, R.C. Eberhart, Y. Shi, "Comparison between genetic algorithms and particle swarm optimization", Proc. IEEE Int. Conf. Evol.Comput., Anchorage, AK, 2001, pp. 611-616.
    • (2001) Proc. IEEE Int. Conf. Evol.Comput , pp. 611-616
    • Kennedy, J.1    Eberhart, R.C.2    Shi, Y.3
  • 10
    • 0031697317 scopus 로고    scopus 로고
    • Using selection to improve particle swarm optimization
    • Anchorage, AK
    • P.J. Angeline, "Using selection to improve particle swarm optimization", Proc. IEEE Int. Conf. Evol. Comput., Anchorage, AK, 1998, pp. 84-89.
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    • Angeline, P.J.1
  • 11
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    • S. Naka , T. Yura, Y. Fukuyama, "A hybrid particle swarm optimization for distribution state estimation", IEEE Trans. on Power Systems, Vol.18, No. 1, 2003, pp. 60-68.
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  • 12
    • 33244474641 scopus 로고    scopus 로고
    • Maximum loadability of Power systems using hybrid particle swarm optimization
    • Amgad A. EL-Dib, Hosam K.M. Youseef, Z. Osman, "Maximum loadability of Power systems using hybrid particle swarm optimization", Electric Power Systems Reasearch, Vol. 76, 2006, pp. 485-492.
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  • 13
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    • A.K. Sawhney, A Course in Electrical Machine Design, 5th ed., New Delhi, Dhanpat Rai and Sons, 1991.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.