genetic algorithm for parameter optimisation in matlab

main.m
% Step 1: Define the objective function that you want to minimize or maximize
objectiveFunction = @(x) (x(1) - 2)^2 + (x(2) - 3)^2; % this is an example objective function to be minimized

% Step 2: Define the lower and upper bounds for each parameter
lb = [0, 0]; % lower bounds for the parameters
ub = [5, 5]; % upper bounds for the parameters

% Step 3: Define the options for the genetic algorithm
options = optimoptions('ga', 'Display', 'iter');

% Step 4: Run the genetic algorithm to optimize the parameters
[x, fval] = ga(objectiveFunction, 2, [], [], [], [], lb, ub, [], options);

disp('Optimal Parameters:');
disp(x);
disp('Objective Function Value at Optimal Parameters:');
disp(fval);
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