Answered
Mixed Integer Linear Programming Problem
You might find the following documentation useful: Investigate Linear Infeasibilities Alan Weiss MATLAB mathematical toolbox ...

5 years ago | 0

Answered
non-linear optimization with complex constrains
I think that you need to solve two different problems, one assuming w =100, one assuming w = 500. Your objective is discontinuou...

5 years ago | 0

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How To Optimize Model Parameters In Simulink?
Perhaps these examples are relevant: Fit ODE, Problem-Based Fit an Ordinary Differential Equation (ODE) Optimizing a Simulati...

5 years ago | 1

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Answered
plot the final value of optimization
It seems that your data is x(i) and y(i), and the associated 2*a+3 and 4*b+9. Yeah, they are all constants, nothing much to plot...

5 years ago | 0

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Answered
Multiobjective Genetic algorithm with integer variables
Sorry, currently there is no built-in function to perform integer-constrained multiobjective optimization. Alan Weiss MATLAB m...

5 years ago | 1

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Inverse of a function gives different results than the negative function with fmincon
The problem could be related to a few things, such as numerical stability and the presence of multiple local minima. For numeri...

5 years ago | 0

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Answered
What is the scale problem in lsqcurvefit optimization?
Check out the lsqcurvefit FiniteDifferenceStepSize option that you set with optimoptions. Alan Weiss MATLAB mathematical toolb...

5 years ago | 0

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Optimization fmincon with integral. Results not optimal, what am I doing wrong?
The first-order optimality measure is not that small at the end. I suspect that your problem is a bit sensitive. i see in your c...

5 years ago | 0

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Answered
Linear programming with conditional constraints
I think that you can do this with mixed-integer linear programming. Create auxiliary binary variables y1 and y2. These variables...

5 years ago | 1

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Failure in initial objective function evaluation. FSOLVE cannot continue. Please help:(
The error is that fsolve expects just one input argument, and you have many (I count 5 arguments, A_py,A_sy,M_py,M_sy,P_c) : g...

5 years ago | 0

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Failure in initial nonlinear constraint function evaluation. FMINCON cannot continue.
You did a good job converting the problem to code. Your only real errors are typos in the nonlinear constraint function. Try thi...

5 years ago | 1

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Mixed Integer (binary) Non-linear problem
That is way too many variables for ga even if it handled integer equality constraints. I suggest that you would probably be best...

5 years ago | 0

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from fminsearch to bayesopt
You are free to use bayesopt, but you will have to change your objective function. For bayesopt you first have to create optimiz...

5 years ago | 0

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Mesh Adaptive Direct Search
Before calling patternsearch first set the pseudorandom number generator: rng default % Or any other fixed rng value As for yo...

5 years ago | 0

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convex function with constant Hessian
Perhaps you are looking for quadprog from Optimization Toolbox™. Alan Weiss MATLAB mathematical toolbox documentation

5 years ago | 0

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Optimization of multiple functions for desired output
I am not sure that I understand what you are trying to do. If you have three variables to minimize, well, either you are fortuna...

5 years ago | 0

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fzero error in fa value
Next time, please give the full error thrown by the function. As it is, I don't know what the error is. I guess that the error ...

5 years ago | 0

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Solving Complex Equations Using "fmincon"
I don't understand why you are trying to use fmincon to solve systems of nonlinear equations. Use fsolve for that. And then you ...

5 years ago | 0

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Mesh Adaptive Direct Search: Problems finding global solution
fmincon is the local solver of choice for smooth problems. patternsearch is NOT guaranteed to get a global solution (no solver i...

5 years ago | 0

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Answered
ga (genetic algorithm) violated linear constraints
I would rescale the problem first. Your x(1), x(2), x(5), and x(6) variables should be multiplied by 1e8 or 1e9, so that they ha...

5 years ago | 0

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Variable optimization to minimize cost in array
Well, you probably want to minimize the cost function sum((Y - X).^2) or some such thing. Yes, there are many functions for doin...

5 years ago | 0

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How to use ga() without generating a prepopulated figure with stop and pause button with matlab app
If you don't want the buttons, then use an output function instead of a plot function. See Custom Output Function for Genetic Al...

5 years ago | 1

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Answered
How to solve non-linear equations having modulus expression?
As long as you have no bounds, you can use lsqnonlin directly. See Fit a Model to Complex-Valued Data. Alan Weiss MATLAB mathe...

5 years ago | 0

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Problem when passing numerical solution of an equation as model function to lsqcurvefit
You did not specify T or en so I cannot try to reproduce your results. But clearly, the error is due to a data type mismatch bet...

5 years ago | 0

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Fitting data with multiple inputs, ODE equation, and lsqnonlin
I do not have the time right now to help debug your code, sorry. But I believe that you might be able to use some documentation ...

5 years ago | 0

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How to optimize hyperparameters for fitcensemble using a customized maximize function?
I am not sure, but maybe you can use the fitcensemble 'Cost' name-value argument. Give the negative of your customized accuracy ...

5 years ago | 0

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understanding how the SQP optimization method works
The fmincon sqp algorithm is described here, with some tweaks explained here. Perhaps this will provide some help, or at least p...

5 years ago | 0

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Can I have checkpoints in Bayesian optimization for tuning hyperparameters of a neural network?
There is one other possible solution to your problem. surrogateopt froom Optimization Toolbox™ can checkpoint automatically. It ...

5 years ago | 1

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Selective Iterative Display Print
I believe that you could do this using an output function. For syntax details, see Output Function and Plot Function Syntax. Wh...

5 years ago | 0

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intlinprog summation MILP optimization problem: ALREADY SOLVED IN GAMS [PROVIDED CODE] BUT CONFUSED IN MATLAB
I suspect that you would be best served by the problem-based approach. You would have a bit of overhead to learn this approach, ...

5 years ago | 0

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