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Guo, Q.; Shen, D.; Guo, Y.; Lai, C.-H.

Parallel genetic algorithms for the solution of inverse heat conduction problems. (English) Zbl 1116.65110

Int. J. Comput. Math. 84, No. 2, 241-249 (2007).
Summary: A parallel genetic algorithm (PGA) is proposed for the solution of two-dimensional inverse heat conduction problems involving unknown thermophysical material properties. Experimental results show that the proposed PGA is a feasible and effective optimization tool for inverse heat conduction problems.

Cited in 1 Document

MSC:

65M32 Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs
35K05 Heat equation
35R30 Inverse problems for PDEs
65M60 Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs
65Y05 Parallel numerical computation
90C15 Stochastic programming

Keywords:

heat conduction; inverse problem; parallel genetic algorithm; numerical examples
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References:

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