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Volumn 9, Issue 6, 2008, Pages 786-790

θ-PSO: A new strategy of particle swarm optimization

Author keywords

Benchmark function; Particle swarm optimization (PSO); Phase angle

Indexed keywords

ALGORITHMS; CONFORMAL MAPPING; PARAMETER ESTIMATION; PROBLEM SOLVING; VECTORS;

EID: 44649201156     PISSN: 1673565X     EISSN: 18621775     Source Type: Journal    
DOI: 10.1631/jzus.A071278     Document Type: Article
Times cited : (46)

References (10)
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    • An improved PSO method with application to multimodal functions of inverse problems
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    • Ho, S.L., Yang, S.Y., Ni, G.Z., Wong, K.F., 2007. An improved PSO method with application to multimodal functions of inverse problems. IEEE Trans. on Magn., 43(4): 1597-1600. [doi:10.1109/TMAG.2006.892108]
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    • Ho, S.L.1    Yang, S.Y.2    Ni, G.Z.3    Wong, K.F.4
  • 6
    • 0004222346 scopus 로고    scopus 로고
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    • Kennedy, J., Eberhart, R.C., 2001. Swarm Intelligence. Morgan Kaufmann Publishers, Inc., San Francisco, CA.
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    • Iteration particle swarm optimization for contract capacities selection of time-of-use rates industrial customers
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    • Lee, T.Y., Chen, C.L., 2007. Iteration particle swarm optimization for contract capacities selection of time-of-use rates industrial customers. Energy Conv. Manag., 48(4): 1120-1131. [doi:10.1016/j.enconman.2006.10.013]
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    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
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    • Trelea, I.C., 2003. The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf. Process. Lett., 85(6):317-325. [doi:10.1016/S0020-0190(02)00447-7]
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  • 10
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    • Optimal choice of parameters for particle swarm optimization
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    • Zhang, L.P., Yu, H.J., Hu, S.X., 2005. Optimal choice of parameters for particle swarm optimization. J. Zhejiang Univ. Sci., 6A(6):528-534. [doi:10.1631/jzus.2005.A0528]
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    • Zhang, L.P.1    Yu, H.J.2    Hu, S.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.