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Volumn , Issue , 2008, Pages 363-366

Novel approach for the use of small world theory in particle swarm optimization

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS;

EID: 63149097916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ADCOM.2008.4760474     Document Type: Conference Paper
Times cited : (8)

References (15)
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  • 3
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    • Particle swarm optimization
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  • 4
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    • The small world problem
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    • Milgram, S.1
  • 5
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    • (1969) Sociometry , vol.32 , pp. 425
    • Travers, J.1    Milgram, S.2
  • 6
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of small-world networks
    • June
    • D. Watts and S. Strogatz, "Collective dynamics of small-world networks," Nature, vol. 393, pp. 440-442, June 1998.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.1    Strogatz, S.2
  • 8
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance
    • IEEE
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    • (1999) IEEE Conference on Evolutionary Computation , pp. 1931-1938
    • Kennedy, J.1
  • 9
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    • Population topologies and their influence in particle swarm performance,
    • Ph.D. dissertation, University of Minho
    • R. Mendes, "Population topologies and their influence in particle swarm performance," Ph.D. dissertation, University of Minho, 2004.
    • (2004)
    • Mendes, R.1
  • 12
    • 0034863568 scopus 로고    scopus 로고
    • Particle swarm optimization- developments, applications and resources
    • Seoul Korea: IEEE
    • R. C. Eberhart and Y. Shi, "Particle swarm optimization- developments, applications and resources," in IEEE Congress on Evolutionary Computation, vol. 1. Seoul Korea: IEEE, 2001, pp. 81-86.
    • (2001) IEEE Congress on Evolutionary Computation , vol.1 , pp. 81-86
    • Eberhart, R.C.1    Shi, Y.2
  • 13
    • 84896721435 scopus 로고    scopus 로고
    • Emprical study of particle swarm optimization
    • IEEE
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  • 14
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    • Tracking and optimizing dynamic systems with particle swarms
    • Seoul Korea: IEEE
    • -, "Tracking and optimizing dynamic systems with particle swarms," in IEEE Congress on Evolutionary Computation. Seoul Korea: IEEE, 2001, pp. 94-97.
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  • 15
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    • Self organizing hierarchical particle swarm optimizer with time varying acceleration coefficients
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.