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A genetic algorithms for on-line calculation with application to system theory

Authors
Lee, H. G.Hong, J. M.Kang, H.Sim, K. B.
Issue Date
2009
Publisher
IEEE
Citation
2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, pp 2180 - 2182
Pages
3
Journal Title
2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3
Start Page
2180
End Page
2182
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/52757
DOI
10.1109/FUZZY.2009.5277057
ISSN
1098-7584
Abstract
Even though the genetic algorithm is known to be a very effective method to solve the global minimization problem, it needs much time (a large population size and a large number of generations) for a reliable answer and thus it seems to be inadequate for on-line performance. We propose a population feedback GA scheme. we show the effectiveness Of our scheme by finding an observer for the discrete-time nonlinear autonomous systems with simulations.
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창의ICT공과대학 (전자전기공학부)
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