Imposing Constraint in FMINCON optimization problem.
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Dear all,
I am trying to implement a constraint, saying that the sum of some variables in the problem should be equal to a certain fixed value (1 in this example). I am not quite familiar with the problem structure in these problems, and could not find any examples in the Matlab documentation. The code below shows the set up I have right now:
x0 = [zeros(1,N_plies) ones(1,N_plies)*t/N_plies];
lb = [-ones(1,N_plies)*90 zeros(1,N_plies)];
ub = [ones(1,N_plies)*90 ones(1,N_plies)*t];
c = @(x) sum(x(end/2+1:end)) == 1; %this does not work as handle for 'nonlcon'
opts = optimoptions(@fmincon,'Algorithm','sqp');
problem = createOptimProblem('fmincon','objective',...
@(x) ABDobjective(x),'x0',x0,'lb',lb,'ub',ub,'nonlcon',c,'options',opts);
Does anybody know of a way to make this work, or where there might be more information on how to set up this sort of structure?
Thanks,
Luca
Accepted Answer
More Answers (1)
Torsten
on 17 May 2022
Aeq = [zeros(1,N_plies),ones(1,N_plies)];
beq = 1.0;
1 Comment
Luca Lange
on 17 May 2022
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