This code is working but in every run i am getting different value of x(1),x(2) and x(3)..kindly solve this problem...its very urgent

xdata =[ 10.^(-5) 10.^(-4) 10.^(-3) 10.^(-2) 10.^(-1) 1]  ;
ydata=(0.2575./((xdata.^2)+(0.333.*xdata)+1));
parameterized_objective = @(x,xdata) x(1)./((x(2).*(xdata.^(1+0.9))) + x(3).*(xdata.^(0.9))+1);
ObjectiveFunction = @(x) sum((parameterized_objective(x,xdata) - ydata).^2);
X0 = [0; 0; 0 ];
lb = [0.2; 0.2;  0.2];
ub = [1; 1; 1];
x = simulannealbnd(ObjectiveFunction, X0, lb, ub)

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/29922-why-your-question-is-not-urgent-or-an-emergency

Answer 1

[the cyclist]

Simulated annealing uses randomness as part of the algorithm. If you set the random seed before this code, for example with the line

rng default

then you should get reproducible results.

[ash]

rng default is working but if i am changing in parameterized_objective for example xdata.^(1+0.1) and xdata.^(0.1).still i am getting same as 0.9.kindly resolve this problem.

parameterized_objective = @(x,xdata) x(1)./((x(2).*(xdata.^(1+0.9))) + x(3).*(xdata.^(0.9))+1);