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Volumn 39, Issue 9, 2005, Pages 1286-1291

Adaptive particle swarm optimization algorithm based on feedback mechanism

Author keywords

Adaptive algorithm; Particle swarm optimization (PSO); Premature

Indexed keywords

ADAPTIVE ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FEEDBACK; GLOBAL OPTIMIZATION; LINEAR SYSTEMS; NEURAL NETWORKS;

EID: 27744459346     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (26)

References (14)
  • 4
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • CLERC M, KENNEDY J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(1): 58-73.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 5
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • TRELEA I C. The particle swarm optimization algorithm: convergence analysis and parameter selection[J]. Information Processing Letters, 2003, 85(6): 317-325.
    • (2003) Information Processing Letters , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.C.1
  • 6
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance
    • Piscataway, NJ: IEEE
    • KENNEDY J. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance[A]. Proceedings of IEEE Congress on Evolutionary Computation[C]. Piscataway, NJ: IEEE, 1999: 1931-1938.
    • (1999) Proceedings of IEEE Congress on Evolutionary Computation , pp. 1931-1938
    • Kennedy, J.1
  • 8
  • 9
    • 84942085623 scopus 로고    scopus 로고
    • Visualizing particle swarm optimization-Gaussian particle swarm optimization
    • Indianapolis: IEEE
    • SECREST B R, LAMONT G B. Visualizing particle swarm optimization-Gaussian particle swarm optimization[A]. Proceedings of the IEEE Swarm Intelligence Symposium[C]. Indianapolis: IEEE, 2003: 198-204.
    • (2003) Proceedings of the IEEE Swarm Intelligence Symposium , pp. 198-204
    • Secrest, B.R.1    Lamont, G.B.2
  • 11
    • 4344575392 scopus 로고    scopus 로고
    • A diversity-guided particle swarm optimizer - The ARPSO
    • Aarhus: University of Aarhus
    • RIGET J, VESTERSTROEM J S. A diversity-guided particle swarm optimizer-the ARPSO[R]. Aarhus: University of Aarhus, 2002.
    • (2002)
    • Riget, J.1    Vesterstroem, J.S.2
  • 12
    • 33847780323 scopus 로고    scopus 로고
    • Study on diversity of population in genetic algorithms
    • ZHANG Xiao-ji, DAI Guan-zhong, XU Nai-ping. Study on diversity of population in genetic algorithms[J]. Control Theory and Applications, 1998, 15(1): 17-22.
    • (1998) Control Theory and Applications , vol.15 , Issue.1 , pp. 17-22
    • Zhang, X.-J.1    Dai, G.-Z.2    Xu, N.-P.3
  • 14
    • 35248847445 scopus 로고    scopus 로고
    • A new approach to improve particle swarm optimization
    • Chicago, IL: Springer-Verlag
    • ZHANG Li-ping, YU Huan-jun, HU Shang-xu. A new approach to improve particle swarm optimization[A]. Lecture Notes in Computer Science[C]. Chicago, IL: Springer-Verlag, 2003: 134-139.
    • (2003) Lecture Notes in Computer Science , pp. 134-139
    • Zhang, L.-P.1    Yu, H.-J.2    Hu, S.-X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.