A multimodal test function used for testing optimization algorithms, based on fitting experimental data. Fixed dimension of 4.
F15(x)Numeric scalar representing the function value.
Formula: $$f(x) = \sum_{i=1}^{11}\left(a_i - \frac{x_1(b_i^2 + b_i x_2)}{b_i^2 + b_i x_3 + x_4}\right)^2$$
where \(a_i\) and \(b_i\) are predefined constants from experimental data.
Global minimum: \(f(0.1928, 0.1908, 0.1231, 0.1358) \approx 0.0003075\)
Characteristics:
Type: Multimodal
Separable: No
Differentiable: Yes
Fixed dimension: 4
Default bounds: \([-5, 5]^4\)
This function is derived from a curve-fitting problem and has several local minima near the global minimum.
test-functions for an overview of all test functions,
get_function_details to retrieve function parameters.