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Volumn , Issue , 2007, Pages 528-533

A novel self-organizing particle swarm optimization based on gravitation field model

Author keywords

Gravitation field model; Gravitational particle swarm optimization; Mass alterable principle; Particle swarm optimization

Indexed keywords

FUNCTION EVALUATION; GRAVITATION; GRAVITATIONAL EFFECTS; OPTIMIZATION; SHAPE OPTIMIZATION; STANDARDS; STRUCTURAL OPTIMIZATION;

EID: 46449117653     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2007.4282541     Document Type: Conference Paper
Times cited : (8)

References (18)
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  • 3
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    • Lei, W.1    Qi, K.2    Wu, Q.3
  • 8
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • California, USA: IEEE
    • Eberhart R C, Shi Y, "Comparing inertia weights and constriction factors in particle swarm optimization," Proceedings of Congress on Evolutionary Computation, California, USA: IEEE, 2000, 84-88.
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    • Frans van den Bergh and Andries P. Engelbrecht, A cooperative approach to particle swarm optimization, IEEE Transaction on Evolutionary Computation, 2004, 8(3): 225-239
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    • On the computation of all global minimizers through particle swarm optimization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.