How can I implement an "if" in optimization problem?
Yoou might be able to find some techniques in the new documentation topic Integer and Logical Modeling. Alan Weiss MATLAB math...

1 month ago | 0

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Linear fitting with 2 variables
I think that the Problem-Based Optimization Workflow would help. Write your optimization variables a, b, and c as you have done,...

2 months ago | 1

replicating excel solver using optimization linprog
I think that you would probably have an easier time formulating your problem by using the Problem-Based Optimization Workflow. ...

2 months ago | 0

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problem using GA to optimize an image processing index in MATLAB?
I suspect that the problem is your objective function takes too long, possibly it does not even finish. I assume that you have ...

2 months ago | 0

Trying to solve Bethe equations - system of non linear equations
You are the unfortunate victim of a naming discrepancy. The fsolve you linked is for Optimization Toolbox, not Symbolic Math sym...

2 months ago | 0

How to use ObjectiveCutOff and ObjectiveImprovementThreshold from optimoptions in solver-based optimization problems
I think that you have a mistaken view of what these options do. Consult the options to see what they really do. I don't think th...

2 months ago | 0

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Error using ofun Too many input arguments.
I cannot reproduce your issue. When I try the following, I do not get an error: x = randn(20,1); r = ofun(x) function f = o...

2 months ago | 0

How to fit a generate polynomial coefficients of with general requirements
I could be wrong, but it sounds to me as if the Problem-Based Optimization Workflow would work well for you. You do not have an ...

2 months ago | 0

How to fit a function to 2D array when some parts of the underlaying function are known?
Well, it depends what you mean by "Z is proportional to c/X and Z is proportional to c2 + c3Y + c4Y^2". You could mean that Z is...

2 months ago | 0

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Relation between population size and function count for genetic algorithm
The answer is that some population members are "elite," and they do not have to be evaluated again. See How the Genetic Algorith...

2 months ago | 0

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Working of PSO with hybrid function
It means the hybrid function runs after particleswarm stops. Ends. Is done. That's what terminates means. In fact, it is equival...

2 months ago | 1

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Minimization and Optimization. Minimize output by optimizing inputs
Sounds like you would be best served with the Problem-Based Optimization Workflow. Declare the variables that can change as opti...

2 months ago | 0

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Unable to perform assignment because the size of the left side is 1-by-14 and the size of the right side is 14-by-14.
The error statement is clear: your assignment (equality) statement has a 1-by-14 vector on the left and a 14-by-14 matrix on the...

2 months ago | 0

fmincon is returning some garbage values in the final output
When I run your script I get the same results as you, so thank you for including all the relevant information. Note that your c...

2 months ago | 0

(OPTIMIZATION) Initial point is a local minimum - PROBLEM!!
I suggest that you plot the square of the objective function over a reasonable range of the parameter and over a small range suc...

2 months ago | 0

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solve a set of two linear equations
I don't really understand what you are trying to do, but it sounds to me like your best bet is to use the Problem-Based Optimiza...

2 months ago | 0

Solve taking too long, how to optimize code?
Another point of view in case Matt's solution is not satisfactory: work completely in floating point computation rather than sym...

2 months ago | 0

Refreshment of the objective function with FMINCON
I think that you have a mistaken view of what fmincon does. All optimization solvers take a fixed objective function and iterate...

2 months ago | 1

Optimisation: minimise function while maximising a design variable
Perhaps you can change the optimization in a nearly unnoticeable way that would bias solutions to have large values of R, like t...

2 months ago | 2

Problem using fminbnd function
All optimization solvers require that the objective function return a scalar value. You need to write your objective function in...

2 months ago | 0

Augmented Lagrangian and Penalty Methods
Sounds like a homework problem. I suggest that you consult the documentation for passing extra parameters, such as Passing Extr...

2 months ago | 0

Find gradient numerically for the equation
There are tools on the File Exchange that can help you find numerical approximations to derivatives. For example, see Adaptive R...

2 months ago | 0

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optimization problem - problem using det funciton
The main problem is that det is not a Supported Operations on Optimization Variables and Expressions. For example, x = optimvar...

2 months ago | 1

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How to optimize nonlinear multiple input model with multiple constraints
I doubt that you want a symbolic solution. You probably want numbers. So I suggest that you use the Problem-Based Optimization W...

2 months ago | 0

can i use different solvers for problem based optimisation in matlab
You CAN use different solvers. The question is, SHOULD you? In other questions you have shown that you are trying to solve an MI...

2 months ago | 0

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Optimizing 1 equation with 7 variables
I think that you would have an easier time formulating your problem by using the problem-based approach. However, if you really...

2 months ago | 0

Matlab optimprob _Problem based _how can i see the optimal parameter setting while using optimprob
You can set a plot function in the options for your solver. To see which solver is being used, call optimoptions: options = opt...

3 months ago | 0

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How to find fixed number of variables with value 1 using Genetic Algorithm with population type Bitstring ?
If I understand you correctly (and I might not have understood), you want to impose a linear constraint on the population x sum...

3 months ago | 0

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