A Novel RNA Genetic Algorithm for the Parameter Estimation of the Ordinary Differential Equations with Multiple Solutions

• Autorzy: Si X. Y. , Fang G. H. , Yang F. , Guo W. , Wang T. , Si X. H.

Warianty tytułu

PL

Nowy algorytm genetyczny do ustalania parametrów w równaniach różniczkowych o wielu rozwiązaniach

• Języki publikacji: EN

Abstrakty

EN

In fluid mechanics, to obtain the multiple solutions in ordinary differential equations is always a concerned and difficult problem. In this paper, a novel RNA genetic algorithm (NRNA-GA) inspired by RNA molecular structure and operators is proposed to solve the parameter estimation problems of the multiple solutions in fluid mechanics. This algorithm has improved greatly in precision and the success rate. Multiple solutions can be found through changing accuracy and search coverage and multi-iterations of computer. At last, parameter estimation of the ordinary differential equations with multiple solutions is calculated. We found that the result has great accuracy and this method is practical.

PL

W artykule zaproponowano nowy algorytm genetyczny NRNA-GA inspirowany strukturą molekularną RNA przeznaczony do rozwiązywania równań z wieloma rozwiązaniami w mechanice cieczy.

Słowa kluczowe

EN

fluid mechanics; differential equation; multiple solutions; genetic algorithm; parameter estimation

PL

mechanika cieczy; równania różniczkowe; algorytm genetyczny

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 118--120
• Opis fizyczny: Bibliogr. 15 poz., tab.

Twórcy

autor

Si X. Y.

• College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China

autor

Fang G. H.

• College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China

autor

Yang F.

• College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China

autor

Guo W.

• College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China

autor

Wang T.

• College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China

autor

Si X. H.

• School of Mathematics and Physics,University of Science and Technology Beijing, Beijing, China

Bibliografia

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