How to optimize a custom multi parameter function

Question

Luciano Deben 2022-4-25

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1704880-how-to-optimize-a-custom-multi-parameter-function

回答： Umang Pandey 2023-10-6

For an image processing project I am trying to optimize input parameters to minimize the Root Mean Squared Error (RMSE) of a custom particle localization function. Where the function has multiple input parameters, a few constant inputs and the RMSE as the only output

I am trying to use the Optimization Toolbox with fcn2optimexpr to solve for this:

prob = optimproblem("Description","Particle localization RMSE", "ObjectiveSense","minimize")
x = optimvar('x','Type','integer','LowerBound',5,'UpperBound',25);
y= optimvar('y','Type','integer','LowerBound',-2,'UpperBound',2);
RMSE = fcn2optimexpr(@ImageProcessor,x, y, a, b, c);
prob.Objective = sum_RMSE
show(prob)
initialGuess.x = 11;
initialGuess.y = 0;
min_RMSE = solve(sum_RMSE, initialGuess)
% Check for incorrect argument data type or missing argument in call to function 'solve'.

I have followed this guide for the function to objective expression but the solve function returns the error commented out. Do I have to set initial guesses for the variables a,b and c as well?