I have objective function as below, where x(input) is 3 by 9 matrix input, I get single value output from objective function. I am trying to minimize the function using genetic algorithm like below, but i am getting error as "Error using ObjectiveFun Too many input arguments.". Please help me in resolving this issue. And what if I have to use non-linear constraints in this case having matrix variable as input. Thank you for your help in advance.
ObjectiveFunction = @ObjectiveFun X0 = zeros(3,9); options.InitialPopulationMatrix = X0; lb = zeros(3,9); ub = zeros(3,9)+Inf; [x,fval] = ga(ObjectiveFunction,3*9,,,,,lb(:),ub(:),,options);
Objective function: function y=ObjectiveFun() global 9 for t=1:1:9 y(t)=integral_function(t, x); end y=-sum(y') end function fun=integral_function(t, x) global alpha a b M c1 c2 beta % these values I have define globally fun=x(1,t)*(x(2,t)-c1)+(x(3,t)-c2)*(M- x(1,t))*(a + b * x(1,t))*(exp(-alpha*x(2,t)-beta*x(3,t))); end