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

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Table 1: Parameters of the proposed genetic algorithm
Table 4: The results of 100 to 1000000 generations for determining q(t) at Example 3 byimplementing proposed genetic algorithm for a population of 10 chromosomes of 20 genes
Table 6: The results of 100 to 1000000 iteration for determining q(t) at Example 2 byimplementing NM for three vertices
Table 8:The results of 100 to 1000 iteration for determining q(t) at Example 1 byimplementing hybrid algorithm for ten vertices

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