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Volumn , Issue , 2008, Pages 1063-1067

Population diversity of particle swarms

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY COMPUTATIONS; PARTICLE SWARMS; POPULATION DIVERSITIES;

EID: 55749113518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4630928     Document Type: Conference Paper
Times cited : (91)

References (12)
  • 1
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • Perth, Australia, Piseataway, NJ: IEEE Service Center, 1995
    • Kennedy, J., and R. C. Eberhart 1995. Particle swarm optimization. Proc. IEEE Intl. Conf. on Neural Networks (Perth, Australia), Piseataway, NJ: IEEE Service Center, IV:1942-1948.
    • (1942) Proc. IEEE Intl. Conf. on Neural Networks , vol.4
    • Kennedy, J.1    Eberhart, R.C.2
  • 4
    • 84879015433 scopus 로고    scopus 로고
    • Parameter selection in particle swarm optimization. Tn
    • New York: Springer-Verlag, pp
    • Shi, Y. and Eberhart, R. C. 1998a. Parameter selection in particle swarm optimization. Tn Evolutionary Programming VII: Proc. EP98, New York: Springer-Verlag, pp. 591-600.
    • (1998) Evolutionary Programming VII: Proc. EP98 , pp. 591-600
    • Shi, Y.1    Eberhart, R.C.2
  • 8
    • 0033307709 scopus 로고    scopus 로고
    • New selection method to improve the population diversity in genetic algorithms
    • Man, and Cybernetics, v
    • Matsui, K. 1999. New selection method to improve the population diversity in genetic algorithms. Proc. 1999 IEEE Int'l. Conf. on Systems, Man, and Cybernetics, v. 1, 625-630.
    • (1999) Proc. 1999 IEEE Int'l. Conf. on Systems , vol.1 , pp. 625-630
    • Matsui, K.1
  • 10
    • 57349091612 scopus 로고    scopus 로고
    • Wen, J., S. Wang, S. Cheng, Q. H. Wu, and D. W. Shimmin 1998. Measurement based power system load modeling using a population diversity genetic algorithm. Proc. POWERCON'98, 1998 Int'l. Conf. on Power System Technology, v. 1, pp. 771-775.
    • Wen, J., S. Wang, S. Cheng, Q. H. Wu, and D. W. Shimmin 1998. Measurement based power system load modeling using a population diversity genetic algorithm. Proc. POWERCON'98, 1998 Int'l. Conf. on Power System Technology, v. 1, pp. 771-775.
  • 12
    • 0034870040 scopus 로고    scopus 로고
    • Study of population diversity of multiobjective evolutionary algorithm based on immune and entropy principles
    • Cui, X., M. Li, and T. Fang 2001. Study of population diversity of multiobjective evolutionary algorithm based on immune and entropy principles. Proc. IEEE 2001 Congress on Evolutionary Computation, 1316-1321.
    • (2001) Proc. IEEE 2001 Congress on Evolutionary Computation , pp. 1316-1321
    • Cui, X.1    Li, M.2    Fang, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.