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Volumn 2009-January, Issue , 2009, Pages 2343-2349

Particle Swarm Hybridized with Differential Evolution: Black-Box Optimization Benchmarking for Noisy Functions

Author keywords

benchmarking; black box optimization; differential evolution; hybrid algorithms; noisy functions; particle swarm

Indexed keywords

FUNCTION EVALUATION; PARTICLE SWARM OPTIMIZATION (PSO);

EID: 85032225880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1570256.1570327     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 2
    • 27144512834 scopus 로고    scopus 로고
    • A restart cma evolution strategy with increasing population size
    • A. Auger and N. Hansen. A restart cma evolution strategy with increasing population size. IEEE Congress on Evolutionary Computation, 2:1769-1776, 2005.
    • (2005) IEEE Congress on Evolutionary Computation , vol.2 , pp. 1769-1776
    • Auger, A.1    Hansen, N.2
  • 3
    • 44649137397 scopus 로고    scopus 로고
    • Particle swarm optimization and differential evolution algorithms: Technical analysis, applications and hybridization perspectives
    • S. Das, A. Abraham, and A. Konar. Particle swarm optimization and differential evolution algorithms: Technical analysis, applications and hybridization perspectives. In Advances of Computational Intelligence in Industrial Systems, 2008.
    • (2008) Advances of Computational Intelligence in Industrial Systems
    • Das, S.1    Abraham, A.2    Konar, A.3
  • 10
    • 27144463951 scopus 로고    scopus 로고
    • A population-based, steady-state procedure for real-parameter optimization
    • A. Sinha, S. Tiwari, and K. Deb. A population-based, steady-state procedure for real-parameter optimization. IEEE Congress on Evolutionary Computation, 1:514-521, 2005.
    • (2005) IEEE Congress on Evolutionary Computation , vol.1 , pp. 514-521
    • Sinha, A.1    Tiwari, S.2    Deb, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.