Too many input arguments error. Matrix variable as input to objective function. Using ga algorithm.

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

[jgg]

As you've written it, your objective function does not take in any inputs. It needs to take in the point to be evaluated and return the value of the point.

[Venugopal Gonela]

Ohh i missed it, thank you soo much for pointing it :)

[Arnab Sen]

@ jgg, please post your comment as answer as it seems to be resolved

Answer 1

[jgg]

As you've written it, your objective function does not take in any inputs. It needs to take in the point to be evaluated and return the value of the point.