Need an alternative to brute force optimization loop

[jmbonni]

Hello,
I have a function with 3 intricated loops to get the best parameters from about 16000000 combinations. This takes a lot of time.
I am looking for an alternative.
Here is the function.

            for a in range(700, 800, 1):
                a = a / 100
                for c in range(100, 200, 1):
                    #c = c / 10.0
                    for seed in range(min_seed, max_seed + 1):
                        #seed = seed/20.0
                        generated_sequence = generate_sequence(a, c, best_m, seed, len(adjusted_values))
                        cubed_difference = calculate_mean_squared_error(generated_sequence, adjusted_values)

                        if cubed_difference < min_cubed_difference:
                            min_cubed_difference = cubed_difference
                            best_a = a
                            best_c = c
                            best_seed = seed

buran write Nov-30-2023, 07:57 AM:
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