Why are non-linear equality constraints not fulfilled for a constrained optimization problem using "fmincon" and "GlobalSearch"
显示 更早的评论
I am trying to optimize 13 variables to maximize a cost function (depends on solutions of a dynamic system) . I have 2 linear equality constraints and 2 linear inequality constraints and 1 non-linear constraint. When I use "GlobalSearch" and "fmincon" as local solver, the linear equality constraints are fulfilled but non-linear equality constraint is not fulfilled. Also, if I use "fmincon" alone, the result shows no feasible solution found.
I would like to know if I am putting the non-linear constraint correctly.
采纳的回答
MathWorks Support Team
2021-3-3
编辑：MathWorks Support Team
2021-3-3
This behavior is expected, the solver might not be able to satisfy the non-linear constraints completely for all use cases. If the difference is a small value from the bound, the 'TolCon' property can be lowered by doing the following when creating the optimization options:
>> opts = optimoptions(@fmincon,'TolCon',1e-8);
Alternatively you can also try using the alternative algorithms such as ('sqp', 'active-set', 'interior-point') for "fmincon" to see if the constraints are satisfied. More details are available in the following link:
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Global or Multiple Starting Point Search 的更多信息
2016-3-30
2021-3-3
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
