Fmincon Errors with objective function definition
9 views (last 30 days)
Show older comments
Hi All,
I am trying to solve a simple fmincon problem and keep hitting the same error message:
Error using funhw2q1
Too many input arguments.
Error in fmincon (line 552)
initVals.f = feval(funfcn{3},X,varargin{:});
Error in HW2Q1solution (line 13)
xopt(i) = fmincon('funhw2q1', x0, [], [], [], [], LB, UB, 'const_hw2q1', [], j);
Caused by:
Failure in initial objective function evaluation. FMINCON cannot continue.
--------------------------------------------------------------------------------------------------------
Here is my main function:
x0 = [0 0];
LB = [-5 -5];
UB = [7 7];
i = 1;
for j = 0:0.01:1
xopt(i) = fmincon('funhw2q1', x0, [], [], [], [], LB, UB, 'const_hw2q1', [], j);
solution(j) = x(1)^2 + 10 * x(2) - 3 * X(1) * X(2);
i = i + 1;
end
-------------------------------------------------------------------------------------------------------
here is 'funhw2q1':
function f = funhw2q1(x)
f = x(1)^2 + 10 * x(2)^2 - 3 * x(1) * x(2);
end
----------------------------------------------------------------------------------------------------------
and here is the constraints function if that makes any sense in this problem:
function [c, Ceq] = const_hw2q1(x)
c(1) = 2*x(1)+x(2) - 4;
c(2) = x(1) + x(2) + 5;
Ceq = [];
Please help. I know it is a very simple problem but I ran out of options.
2 Comments
Matt J
on 2 Dec 2020
Edited: Matt J
on 2 Dec 2020
It doesn't really make sense for you to be using const_hw2q1() to implement your constraints, when they are in fact linear and could be implemented with appropriate A,b matrices. Also, since your objective is quadratic, quadprog would be a better tool here than fmincon.
Accepted Answer
Stephan
on 2 Dec 2020
Edited: Stephan
on 2 Dec 2020
Try:
x0 = [0 0];
LB = [-5 -5];
UB = [7 7];
ii = 1;
for jj = 0:0.01:1
xopt(ii,:) = fmincon(@funhw2q1, x0, [], [], [], [], LB, UB, @const_hw2q1);
solution(ii) = xopt(ii,1).^2 + 10 * xopt(ii,2) - 3 * xopt(ii,1) .* xopt(ii,2);
ii = ii + 1;
end
function f = funhw2q1(x)
f = x(1).^2 + 10 * x(2).^2 - 3 * x(1) .* x(2);
end
function [c, Ceq] = const_hw2q1(x)
c(1) = 2*x(1)+x(2) - 4;
c(2) = x(1) + x(2) + 5;
Ceq = [];
end
Note that in every run of your loop you get the same result - what do want to achieve? Since you do not really change anything inside your objective and your constraints, the for loop is not needed and the code simplifies to:
x0 = [0 0];
LB = [-5 -5];
UB = [7 7];
[xopt, solution] = fmincon(@funhw2q1, x0, [], [], [], [], LB, UB, @const_hw2q1)
function f = funhw2q1(x)
f = x(1).^2 + 10 * x(2).^2 - 3 * x(1) .* x(2);
end
function [c, Ceq] = const_hw2q1(x)
c(1) = 2*x(1)+x(2) - 4;
c(2) = x(1) + x(2) + 5;
Ceq = [];
end
3 Comments
More Answers (0)
See Also
Categories
Find more on Surrogate Optimization in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!