How to use one fmincon optimizer in a loop and one optimizer out of that loop?

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I am trying to optimize k and Ea values for a set of reactions (ode equations) for two different data sets (t,T). We know that k and Ea values can be different for each data set based on the temperature. Also, there is a stoichiometric factor (alpha) that should be optimized which logically, should be the same for both data sets.
So, I need to optimize the k and Ea values first inside a loop and then take the optimized k and Ea values to be utilized for an outer loop optimization part optimizing the stoichiometric factor (alpha).
My problem is that I do ot know haw to take the optimized k and Ea values and substitute them in ode equations to be utilized for the outer loop optimization part. Also, I do not know what the lenght of "i" should be exactly. I would be thankful if anyone could help me with that.
Here is that part of my code:
function Res = Alpha_objfunc(alpha)
for i = 1:1
k0_vec0 = [0.63, 0.03, 0.951; 17000, 10000, 100000]; % combination of k and Ea (the second raw)
A=[];
b=[];
Aeq=[];
beq=[];
lb=[];
ub=[];
options=optimoptions('fmincon','Display','iter','Algorithm','sqp');
[k0_vec,fval]=fmincon(@Obj_func60,k0_vec0,A,b,Aeq,beq,lb,ub,@Con_func60,options);
% k0_vec0=k0_vec;
while fval > 0.000001 % I am not sure if it is useful or not
Ode_Cell_deg60;
k0_vec = k0_vec(i);
end
fvalnew = fval(end);
end
Res = fvalnew; % Taking Rseiduals for alpha optimization part
end

采纳的回答

Torsten
Torsten 2023-1-20
编辑:Torsten 2023-1-20
Why don't you optimize all parameters in one call to fmincon ?
It's not a problem that Ea and k are different for each dataset, but that they share a common value for alpha.
Further I suggest using "lsqcurvefit" instead of "fmincon" which is especially designed for such fitting problems.
Take a look at
to see how to proceed.
  6 个评论
Torsten
Torsten 2023-1-20
Maybe I did not define the data set in a correct way.
You mean the parameter set here, don't you ?
Farangis
Farangis 2023-1-20
No, actually I have an ode function that gives t (time) and C (Consentration) and there are k values that changes versus T (Temperature) and also temperature changes versus t. I have two different data set of (t , T) and I have to solve the ode equations to obtain C for both (t , T) data set in a one code.
Finally, I need to optimize k and Ea values for the two data set (which will be different from each other) and "alpha" (which should be the same for each data set).
So, I think I do not know how to define these two (t , T) data set for ode solver.
Here is my ode:
function dcdt = Cell_deg_60C(t,c,k0_vec,Ea_vec,alpha)
R = 8.314; % J/K.mol
%% For T=60 C
% I need to define T data in a vector like it T = [320.15 333.15 333.15 333.15 333.15 333.15 333.15 333.15 333.15 333.15]
% and For T=80 C ---> T= [321.15 334.15 348.15 353.15 353.15 353.15 353.15 353.15 353.15 353.15]
%% here I just defined one data set of T, because I have no idea how to define the second one
if t <= 720
T = 297.15 + ((320.15-297.15)*(t/540)); % K , s
else
T = 333.15;
end
%% ------------------------------------------------------------------------------------------------
k01 = k0_vec(1);
k02 = k0_vec(2);
k03 = k0_vec(3);
Ea1 = Ea_vec(1);
Ea2 = Ea_vec(2);
Ea3 = Ea_vec(3);
k1 = (k01.*exp(-Ea1./(R.*T)));
k2 = (k02.*exp(-Ea2./(R.*T)));
k3 = (k03.*exp(-Ea3./(R.*T)));
%% D=1 G=2 M=3 O=4
dcdt = zeros(4,1);
dcdt(1) = - k1.*c(1) - k3.*c(1);
dcdt(2) = k1.*c(1);
dcdt(3) = k1.*c(1) + 2*k3.*c(1) - k2.*c(3);
dcdt(4) = alpha*k2*c(3);
dcdt = [dcdt(1);dcdt(2);dcdt(3);dcdt(4)];
% here is odesolver mfile
c0 = zeros(4,1);
c0(1) = 0.14; % mol/l
c0(2) = 0.00045;
c0(3) = 0.01529;
c0(4) = 0.00101;
k0_vec = [0.63, 0.03, 0.951];
Ea_vec = [17000, 10000, 100000];
alpha = 1.44;
tspan = 60*[
9
12
27
42
57
72
87
102
117
132
]; % second
[t,c] = ode45(@(t,c) Cell_deg_60C(t,c,k0_vec,Ea_vec,alpha),tspan,c0);
plot (t/60,c);
legend('Disac','GISA','Monosac','Otheracids')
xlabel('time (min)');
ylabel('C at T=60C (mol/L)');

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