Solution of implicitly formulated inverse heat transfer problems with hybrid methods

Computational Fluid and Solid Mechanics 2003

Volumn , Issue , 2003, Pages 2369-2372

  Silva Neto, A J ^a,b   Soeiro, F J C P ^a  

^a STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Genetic algorithms; Heat conduction; Hybrid methods; Inverse problems; Levenberg Marquardt; Radiative transfer; Simulated annealing

Indexed keywords

DIFFERENTIAL EQUATIONS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; HEAT CONDUCTION; HEAT TRANSFER; OPTIMIZATION; RADIATIVE TRANSFER; SIMULATED ANNEALING; STOCHASTIC SYSTEMS;

GRADIENT-BASED METHOD; HYBRID METHOD; INVERSE HEAT TRANSFER PROBLEM; LEVENBERG-MARQUARDT; SOLUTION OF INVERSE PROBLEMS; STOCHASTIC GLOBAL OPTIMIZATION;

INVERSE PROBLEMS;

EID: 79952004652     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044046-0.50582-0     Document Type: Chapter

References (5)

1. Silva Neto AJ Explicit and implicit formulations for inverse radiative transfer problems. Proc 5th World Congress on Computational Mechanics 2002.
2. Silva Neto AJ, Soeiro FJCP Estimation of phase function of anisotropic scattering with a combination of gradient based and stochastic global optimization methods. Proc 5th World Congress on Computational Mechanics 2002.
3. Silva Neto AJ, Soeiro FJCP The solution of an inverse radiative transfer problem with the simulated annealing and Levenberg-Marquardt methods. Mini-Symposium on Inverse Problems in Medicine, Engineering and Geophysics 2000, 62-71.
4. Kirkpatrick S, Gelatt CD, Vecchi MP Optimization by simulated annealing. Science 1983, 220:671-680.
5. Goldberg DE Genetic Algorithms in Search, Optimization and Machine Learning 1989, Addison-Wesley, Reading, MA.