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Volumn 85, Issue 6, 2003, Pages 317-325

The particle swarm optimization algorithm: Convergence analysis and parameter selection

Author keywords

Analysis of algorithms; Parallel algorithms; Particle swarm optimization; Stochastic optimization

Indexed keywords

COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; OPTIMIZATION; PARALLEL ALGORITHMS;

EID: 0037475094     PISSN: 00200190     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0190(02)00447-7     Document Type: Article
Times cited : (2468)

References (5)
  • 1
    • 84901421400 scopus 로고    scopus 로고
    • The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization
    • Washington, DC
    • Clerc M. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. Proc. ICEC, Washington, DC. 1999;1951-1957.
    • (1999) Proc. ICEC , pp. 1951-1957
    • Clerc, M.1
  • 2
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm: Explosion stability and convergence in a multi-dimensional complex space
    • Clerc M., Kennedy J. The particle swarm: explosion stability and convergence in a multi-dimensional complex space. IEEE Trans. Evolution. Comput. 6:(1):2002;58-73.
    • (2002) IEEE Trans. Evolution. Comput. , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 3
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • San Diego, CA
    • Eberhart R.C., Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. Proc. CEC, San Diego, CA. 2000;84-88.
    • (2000) Proc. CEC , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.