Answered

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...

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...

2 months ago | 0

Answered

Fsolve Intemidiate equations result

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

Fsolve Intemidiate equations result

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

2 months ago | 0

Answered

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...

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...

2 months ago | 0

Answered

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...

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...

2 months ago | 0

| accepted

Answered

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...

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...

2 months ago | 0

Answered

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); ...

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); ...

2 months ago | 0

| accepted

Answered

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...

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...

2 months ago | 0

Answered

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...

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...

2 months ago | 0

| accepted

Answered

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,...

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

Answered

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. ...

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

| accepted

Answered

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 ...

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

Answered

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...

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

Answered

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...

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

| accepted

Answered

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...

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

Answered

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 ...

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

Answered

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...

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

| accepted

Answered

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...

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

| accepted

Answered

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...

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

| accepted

Answered

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...

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

| accepted

Answered

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...

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

Answered

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...

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

Answered

(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...

(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

| accepted

Answered

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 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

Answered

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...

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

Answered

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...

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

Answered

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...

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

Answered

Problem using fminbnd function

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

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

Answered

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...

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

Answered

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...

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...

3 months ago | 0

| accepted

Answered

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...

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...

3 months ago | 1

| accepted