Optimization problem using gamultiobj
6 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
The goal is to find the pareto front of a problem using the following equations and constraints:
Equation 1:
Equation 2: (calulates the magnitude of C, D, and E once they are scaled by vector X)
F = sqrt( abs(C(:,1)*X(1) - C(:,2)*X(1)*X(2) + C(:,3)*X(3) + C(:,4)*X(3)*X(4)) ^ 2 +...
abs (D(:,1)*X(1) - D(:,2)*X(1)*X(2) + D(:,3)*X(3) + D(:,4)*X(3)*X(4)) ^ 2 +...
abs (E(:,1)*X(1) - E(:,2)*X(1)*X(2) + E(:,3)*X(3) + E(:,4)*X(3)*X(4)) ^ 2 )
where A3, A13, A23, Q, A34 are constant scalars, j is a complex number, and vectors C, D, and E are complex column vectors (e.g. C(:,1) has the size 100 * 1)
The constraints:
X(1) <= A constant value (JJ)
X(2) <= 1
X(3) <= A constant value (JJ)
X(4) <= 1
S >= some value
max(F) <= another value
Is this possible to be implemented using gamultiobj function?
1 commentaire
Alan Weiss
le 25 Fév 2020
I am not sure what your objectives are. And I am not sure if all of your objectives are real-valued. If you have real-valued objectives, then you can probably use gamultiobj, with a nonlinear constraint representing the lower bound on S and the upper bound on F.
Good luck,
Alan Weiss
MATLAB mathematical toolbox documentation
Réponses (0)
Voir également
Catégories
En savoir plus sur Multiobjective Optimization dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!