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Volumn , Issue , 2012, Pages 409-413

Tuning of PID controller based on fruit fly optimization algorithm

Author keywords

Fruit Fly Optimization Algorithm (FOA); Optimization; PID tuning

Indexed keywords

CANDIDATE SOLUTION; FRUIT FLIES; LOOP PERFORMANCE; OPTIMIZATION ALGORITHMS; PID CONTROLLERS; PID PARAMETERS; PID PARAMETERS TUNING; PID TUNING; PROGRAM CODE; STABLE CONVERGENCE; TUNING METHOD;

EID: 84867586571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMA.2012.6282878     Document Type: Conference Paper
Times cited : (90)

References (15)
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    • Zhang, J.1    Zhuang, J.2    Du, H.3    Wang, S.4
  • 3
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    • (2011) International Journal of Artificial Intelligence & Applications (IJAIA) , vol.2 , Issue.4 , pp. 25-32
    • Bassi, S.1    Mishra, M.2    Omizegba, E.3
  • 5
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    • W. Pan, "A new fruit fly optimization algorithm: taking the financial distress model as an example," Knowledge-Based Systems, vol. 26, pp. 69-74, 2012.
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    • Pan, W.1
  • 6
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    • Analysis of service satisfaction in web auction logistics service using a combination of fruit fly optimization algorithm and general regression neural network
    • Available
    • S. Lin, "Analysis of service satisfaction in web auction logistics service using a combination of fruit fly optimization algorithm and general regression neural network," Neural Computing & Applications, pp. 1-9, 2011.Available at: http://dx.doi.org/10.1007/s00521-011-0769-1.
    • (2011) Neural Computing & Applications , pp. 1-9
    • Lin, S.1
  • 12
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    • Genetic algorithms
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    • Holland, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.