optimising variables in for loop
It is not clear to me whether you want to minimize q_backup(k) for one particular value of k or for all k from 1 to 145. Genera...

ungefär en månad ago | 0

Fsolve Intemidiate equations result
You could use persistent variables along with assignin to write the variaible value to a workspace variable. Something like this...

ungefär en månad ago | 0

Supplied objective function must return a scalar value
You have a misconception about what linear constraints mean and what a scalar objective function is. Linear constraints do NOT t...

ungefär en månad ago | 0

How to limit optimization program to choose only natural integers numbers (not float) if my objective function is not linear?
If you have Global Optimization Toolbox you can use Mixed Integer ga Optimization. Alan Weiss MATLAB mathematical toolbox docu...

ungefär en månad ago | 0

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Why does the fmincon optimization give a slightly different solution in MATLAB 2019B as compared to 2020B?
Many things change in each version. The usual issue is that the underlying math libraries can have slight differences. Optimizat...

ungefär en månad ago | 0

hi, i have a problem with ga function. the problem is: Caused by: Failure in initial user-supplied nonlinear constraint function evaluation.
I believe that the error is here: function [c, ceq] = nlc(x) for j=1:320 c(1) = -sum(x(1,:)) +(320/43.65); ...

ungefär en månad ago | 0

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optimization of matrices with random initialization
You would probably do well to use the Problem-Based Optimization Workflow. But you can just as easily change your current soluti...

ungefär en månad ago | 0

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...

ungefär en månad 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,...

ungefär 2 månader 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. ...

ungefär 2 månader 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 ...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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 ...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

ungefär 2 månader 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...

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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...

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...

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...

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...

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

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...

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...