how to write a code of genetic algorithm minimizing function and the output is optimization figure of fitness value and number of iteration in matlab

main.m
% Define your fitness function
fitness_func = @(x) your_fitness_function(x);

% Define the number of variables and constraints
nvars = number_of_variables;
ncon = number_of_constraints;

% Set the options for the genetic algorithm
options = gaoptimset('Display', 'iter', 'PlotFcn', @gaplotbestf);

% Run the genetic algorithm and obtain the results
[x, fval, exitflag, output] = ga(fitness_func, nvars, [], [], [], [], [], [], [], options);

% Plot the optimization figure of fitness value
figure;
plot(output.bestf);

% Plot the optimization figure of number of iterations
figure;
plot(output.iterations);
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Make sure to replace your_fitness_function with your actual fitness function, and number_of_variables and number_of_constraints with the appropriate values for your problem. The PlotFcn option is set to @gaplotbestf to plot the best fitness value at each iteration. The optimization figure of fitness value and number of iterations will be displayed in separate figures.

gistlibby LogSnag