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Volumn 6728 LNCS, Issue PART 1, 2011, Pages 80-85

Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization

Author keywords

Adaptability; Inertia weight; Particle Swarm Optimization (PSO); Rate of particle evolution changing

Indexed keywords

ADAPTABILITY; BENCHMARK FUNCTIONS; CONVERGENCE SPEED; CURRENT RATE; DYNAMIC ADAPTATIONS; EFFECTIVE DYNAMICS; INERTIA WEIGHT; ITERATION PROCESS; LOCAL MINIMUM POINT; NON-LINEAR OPTIMIZATION; NONLINEAR INERTIA WEIGHT; RATE OF PARTICLE EVOLUTION CHANGING; SEARCH PERFORMANCE;

EID: 79958210822     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21515-5_10     Document Type: Conference Paper
Times cited : (17)

References (5)
  • 3
    • 33751005026 scopus 로고    scopus 로고
    • Designing MIMO controller by neuro-traveling particle swarm optimizer approach
    • Su, C.-T., Wong, J.-T.: Designing MIMO controller by neuro-traveling particle swarm optimizer approach. Expert System with Applications (S0957-4174) 32(3), 848-855 (2007)
    • (2007) Expert System with Applications (S0957-4174) , vol.32 , Issue.3 , pp. 848-855
    • Su, C.-T.1    Wong, J.-T.2
  • 4
    • 41049100066 scopus 로고    scopus 로고
    • Robust PID controller tuning based on the constrained particle swarm optimization
    • Kim, T.-H., Maruta, I., Sugie, T.: Robust PID controller tuning based on the constrained particle swarm optimization. Automatica (S0005-1098) 44(4), 1104-1110 (2008)
    • (2008) Automatica (S0005-1098) , vol.44 , Issue.4 , pp. 1104-1110
    • Kim, T.-H.1    Maruta, I.2    Sugie, T.3
  • 5
    • 33847135979 scopus 로고    scopus 로고
    • Analysis and Improvement of Particle Swarm Optimization
    • Zhang, L., Yu, H.: Analysis and Improvement of Particle Swarm Optimization. Information and Control 33(5), 513-517 (2004)
    • (2004) Information and Control , vol.33 , Issue.5 , pp. 513-517
    • Zhang, L.1    Yu, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.