An efficient hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) for solving nonlinear inverse parabolic problems

H. Dana Mazraeh, R. Pourgholi
2018 Iranian journal of numerical analysis and optimization  
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.
doi:10.22067/ijnao.v8i2.64202 doaj:a320b31a090642a9b5ed9b8beceedaef fatcat:w54ving35bafdlbdtw4hecoq7e