Title of article
An efficient hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) for solving nonlinear inverse parabolic problems
Author/Authors
Dana Mazraeh ، H. - Damghan University , Pourgholi ، R. - Damghan University
Pages
22
From page
119
To page
140
Abstract
In this paper a hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) simplex search method is combined with least squares method for the determination of temperature in some nonlinear inverse parabolic problems (NIPP). The performance of hybrid algorithm is established with some examples of NIPP. Results show that hybrid algorithm is better than GA and NM separately. Numerical results are obtained by implementation expressed algorithms on 2.20GHz clock speed CPU.
Keywords
Hybrid , NIPP , Nonlinear inverse parabolic problem , Genetic algorithm , Nelder–Mead , The least squares method.
Journal title
Iranian Journal of Numerical Analysis and Optimization
Serial Year
2018
Journal title
Iranian Journal of Numerical Analysis and Optimization
Record number
2440893
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