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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

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ash
ash 2018-5-18
关闭： MATLAB Answer Bot 2021-8-20
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)

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回答（1 个）

the cyclist
the cyclist 2018-5-18
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.
  1 个评论
ash
ash 2018-5-18
编辑：Walter Roberson 2018-5-18
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);

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