메뉴 건너뛰기




Volumn 2, Issue , 2011, Pages 1696-1699

Opposition-based particle swarm optimization with plow operator

Author keywords

Opposition based Learning; Particle Swarm Optimization; Plow operator; Rand search

Indexed keywords

CONVERGENCE SPEED; EVOLUTION ALGORITHMS; FAST CONVERGENCE SPEED; LOCAL OPTIMA; OPPOSITION-BASED LEARNING; OPTIMIZATION ABILITY; OPTIMIZATION PROBLEMS; PARTICLE SWARM; PLOW OPERATOR; RAND SEARCH;

EID: 80054904699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSQRWC.2011.6037303     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 7
    • 84887826492 scopus 로고    scopus 로고
    • Plow PSO: A Novel Approach to Effectively Initializing Particle Swarm Optimization
    • J IEEE Press
    • Mohammad Sadegh Norouzzadeh and Mohammad Reza Ahmadzadeh, Plow PSO: A Novel Approach to Effectively Initializing Particle Swarm Optimization [J].In the Proceedings of the IEEE Congress on Evolutionary Computation, pp. 705-709, IEEE Press, 20 10.
    • (2010) Proceedings of the IEEE Congress on Evolutionary Computation , pp. 705-709
    • Norouzzadeh, M.S.1    Ahmadzadeh, M.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.