I wrote the following formula in order to solve a minimization problem. But when I run the code, I always get the following error:

Error using barrier Objective function is undefined at initial point. Fmincon cannot continue.

function out = Objectivefunction(x,r,q,K,T,S0,type,marketprice)
    %loss function to find optimal heston parameters
    %rho = x(5);
    %kappa = x(2);
    %theta = x(4);
    %eta = x(3);
    %vol0 = x(1);
    %sigma0 = sqrt(vol0);
    integration_rule = 1;
    Price = zeros(length(T),1);
    diffr = zeros(length(T),1);

    %FFTCarrMadanHeston(kappa, eta, theta, rho, sigma0, K, T, S0, r, q, type, integrationrule)
    %price using FFT
    for t = 1:length(T)
        Price(t,:) = FFTCarrMadanHeston(x(2), x(3), x(4), x(5), sqrt(x(1)), K(t), T(t), S0, r(t), q, type(t), integration_rule);
        diffr(t,:) = marketprice(t) - Price(t);
        %diffr(t,:) = (abs(marketprice(t) - Price(t)))/Price(t);
    end
    out = sqrt(sum((diffr).^2)/length(marketprice));
end

% calibration
v0 = 0.0654; %
kappa0 = 0.6067;
eta0 = 0.0707;
theta0 = 0.2928;
rho0 = -0.7571;

x0 = [v0,kappa0,eta0,theta0,rho0];
x0;

% computation of the interest rate for each maturity
r = spline(interest_rate(:,1), interest_rate(:,2), T);
T = T/360; % maturity in years

%calibration parameters
A = [];
b = [];
Aeq = [];
beq = [];
e = 1e-5;
lb = [e e e e -.999]; % Lower bound on the estimates
ub = [100 10 10 10 .999]; % Upper bound on the estimates
optimpar = fmincon(@(x)Objectivefunction(x,r,q,K,T,S0,type,marketprice), x0, A,b, Aeq, beq, lb, ub);

I do get an outcome when I calculate the value of the objective function in the intitial point. However, once I do it in the fmincon function , it doesn't work anymore