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Volumn 3630 LNAI, Issue , 2005, Pages 874-883

Multi-population cooperative particle swarm optimization

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; COMPUTER SIMULATION; ECOSYSTEMS; FUNCTION EVALUATION; OPTIMIZATION;

EID: 33645999632     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553090_88     Document Type: Conference Paper
Times cited : (69)

References (18)
  • 5
    • 84919713045 scopus 로고    scopus 로고
    • Evolutionary optimization versus particle swarm optimization: Philosophy and performance difference
    • San Diego,. California USA
    • Angeline, P.J.: Evolutionary optimization versus particle swarm optimization: philosophy and performance difference. In: Proceeding of the 7th Annual Conference on Evolutionary Programming, San Diego,. California USA (1998) 601-610
    • (1998) Proceeding of the 7th Annual Conference on Evolutionary Programming , pp. 601-610
    • Angeline, P.J.1
  • 10
    • 4344575392 scopus 로고    scopus 로고
    • A diversity-guided particle swarm optimizer - The ARPSO
    • Department of Computer Science, University of Aarhus
    • Riget, J., Vesterstroem, J.S.: A diversity-guided particle swarm optimizer - the ARPSO. Technical Report 2002-02, Department of Computer Science, University of Aarhus (2002)
    • (2002) Technical Report , vol.2002 , Issue.2
    • Riget, J.1    Vesterstroem, J.S.2
  • 14
    • 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. IEEE Transactions on Evolutionary Computation 6 (2002) 58-73
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 15
    • 0002318273 scopus 로고    scopus 로고
    • Miikkulainen: Reinforcement learning through symbiotic evolution
    • Moriartv, D., Miikkulainen: Reinforcement learning through symbiotic evolution. Machine learning, 22 (1996) 11-32
    • (1996) Machine Learning , vol.22 , pp. 11-32
    • Moriartv, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.