Model parameters estimation and sensitivity by genetic algorithms

Annals of Nuclear Energy

Volumn 30, Issue 14, 2003, Pages 1437-1456

  Marseguerra, Marzio ^a   Zio, Enrico ^a   Podofillini, Luca ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DECISION MAKING; OPTIMIZATION; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS;

OPTIMIZATION PROBLEMS;

GENETIC ALGORITHMS;

EID: 0038475613     PISSN: 03064549     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4549(03)00083-5     Document Type: Article

References (9)

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5. Goldberg, D.E. 1989. Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company.
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7. Marseguerra M., Zio E. Genetic algorithms for estimating effective parameters in a lumped reactor model for reactivity predictions. Nuclear Science and Engineering, September. 139(1):2001;96-104. 2001.
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9. Uhrig, R.E., Tsoulakis, L.H. 1999. Soft Computing technologies in nuclear engineering applications. Progress in Nuclear Energy, Vol. 34 N.1, Pergamon.