Global optimization of thermal conductivity using stochastic algorithms
DOI10.1080/17415970802214673zbMath1165.65031OpenAlexW2039149952MaRDI QIDQ3630081
Viviana Cocco Mariani, Leandro dos Santos Coelho
Publication date: 2 June 2009
Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)
Full work available at URL: http://www.informaworld.com/smpp/./content~db=all~content=a905614276
inverse problemnumerical examplesgenetic algorithmthermal conductivitydifferential evolutionself-organizing migration algorithmstochastic optimization algorithmthermal conductivity of foods at freezing temperature
Numerical mathematical programming methods (65K05) Stochastic programming (90C15) Heat equation (35K05) Inverse problems for PDEs (35R30) Optimization problems in thermodynamics and heat transfer (80M50) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) Inverse problems in thermodynamics and heat transfer (80A23) Other natural sciences (mathematical treatment) (92F05)
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- An inverse analysis to estimate linearly temperature dependent thermal conductivity components and heat capacity of an orthotropic medium
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Determination of the temperature dependent thermophysical properties from temperature responses measured at medium's boundaries
- Non-iterative estimation of heat transfer coefficients using artificial neural network models
- Genetic algorithm behaviour in the solution of an inverse thermal field problem
- Inverse problem in a porous medium: estimation of effective thermal properties
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