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Volumn , Issue , 2009, Pages 92-96

A hybrid particle swarm optimization for numerical optimization

Author keywords

Function optimization; Numerical optimization; Particle swarm optimization

Indexed keywords

BENCHMARK FUNCTIONS; FUNCTION OPTIMIZATION; GLOBAL OPTIMUM; HYBRID PARTICLE SWARM OPTIMIZATION; HYBRID PSO; LOCAL MINIMUMS; MODIFIED VELOCITY; MULTI MODAL FUNCTION; NONZERO VELOCITIES; NUMERICAL FUNCTIONS; NUMERICAL OPTIMIZATION; NUMERICAL OPTIMIZATIONS; OPPOSITION-BASED LEARNING; PREMATURE CONVERGENCE; STANDARD PSO; TEST CASE; TRAPPED PARTICLE;

EID: 71049151628     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIFE.2009.31     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 5
    • 77956094080 scopus 로고    scopus 로고
    • Opposition-based particle swarm algorithm with Cauchy mutation
    • H. Wang, Y. Liu, S. Y. Zeng, H. Li and C. H. Li, "Opposition-based particle swarm algorithm with Cauchy mutation," in Proc. Congr. Evol. Comput., 2007, pp. 4750-4756.
    • (2007) Proc. Congr. Evol. Comput , pp. 4750-4756
    • Wang, H.1    Liu, Y.2    Zeng, S.Y.3    Li, H.4    Li, C.H.5
  • 9
    • 0032685734 scopus 로고    scopus 로고
    • Evolutionary programming made faster
    • X. Yao, Y. Liu and G. Lin, "Evolutionary programming made faster," IEEE Trans. Evol. Comput., vol. 3, 1999, pp. 82-102.
    • (1999) IEEE Trans. Evol. Comput , vol.3 , pp. 82-102
    • Yao, X.1    Liu, Y.2    Lin, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.