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Volumn 7, Issue , 2008, Pages 683-687

Study on the nonlinear strategy of inertia weight in particle swarm optimization

Author keywords

Inertia weight; Nonlinear strategy; Particle swarm optimization

Indexed keywords

OPTIMIZATION;

EID: 57649195318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.533     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 2
    • 84919713045 scopus 로고    scopus 로고
    • Angeline PJ, Evolutionary optimization versus particle swarm optimization: philosophy and performance differences, Evolutionary Programming VII, Lecture Notes in Computer Science, Springer, Berlin, 1998. 1447, pp. 601-610.
    • Angeline PJ, Evolutionary optimization versus particle swarm optimization: philosophy and performance differences, Evolutionary Programming VII, Lecture Notes in Computer Science, Springer, Berlin, 1998. vol. 1447, pp. 601-610.
  • 5
    • 33645153122 scopus 로고    scopus 로고
    • Study on the Strategy of Decreasing Inertia Weight in Particle Swarm Optimization Algorithm
    • Xi'an, China
    • Chen Guimin , Jia Jianyuan , Han Qi, Study on the Strategy of Decreasing Inertia Weight in Particle Swarm Optimization Algorithm, Journal of Xi 'an JiaoTong Universit, Xi'an, China. 2006, 1(40), pp.53-61.
    • (2006) Journal of Xi 'an JiaoTong Universit , vol.1 , Issue.40 , pp. 53-61
    • Chen, G.1    Jia, J.2    Qi, H.3
  • 7
    • 84879015433 scopus 로고    scopus 로고
    • Parameter selection in particle swarm optimization[C]
    • Springer-Verlag, Washington D C
    • Shi Y, Eberhart R, Parameter selection in particle swarm optimization[C], Proc of the 7th Annual Conf on Evolutionary Programming, Springer-Verlag, Washington D C, 1998, pp.591-600.
    • (1998) Proc of the 7th Annual Conf on Evolutionary Programming , pp. 591-600
    • Shi, Y.1    Eberhart, R.2
  • 9
    • 33749513955 scopus 로고    scopus 로고
    • On The Analysis of the performance of performance of particle swarm optimization algorithm with globally and locally tuned inertia weight variants
    • World Scientific
    • M. Senthil Arumugam, On The Analysis of the performance of performance of particle swarm optimization algorithm with globally and locally tuned inertia weight variants, International Journal of Computational Methods, World Scientific, 2006, 3(1), pp. 97-114.
    • (2006) International Journal of Computational Methods , vol.3 , Issue.1 , pp. 97-114
    • Senthil Arumugam, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.