Answered

Constrained Non linear least squares returns equation parameters much different from true set

I don't know exactly where your error is, but I reworked your code, and in my reworked version lsqnonlin returns the correct ans...

Constrained Non linear least squares returns equation parameters much different from true set

I don't know exactly where your error is, but I reworked your code, and in my reworked version lsqnonlin returns the correct ans...

3 months ago | 0

| accepted

Answered

Using derivatives function, diff and GA toolbox

You don't show any code, so my answer might be irrelevant. Are you using diff as a symbolic derivative or as a standard MATLAB ...

Using derivatives function, diff and GA toolbox

You don't show any code, so my answer might be irrelevant. Are you using diff as a symbolic derivative or as a standard MATLAB ...

3 months ago | 0

| accepted

Answered

Why isn't parallel computing taking place when using MADS search methods in patternsearch?

I think that you might have a slight misunderstanding of what some options mean, and also you need to set your options slightly ...

Why isn't parallel computing taking place when using MADS search methods in patternsearch?

I think that you might have a slight misunderstanding of what some options mean, and also you need to set your options slightly ...

3 months ago | 0

| accepted

Answered

fminsearch options...supressing error messages

Are you passing the options to fminsearch? Please show your fminsearch call and options creation call. Alan Weiss MATLAB mathe...

fminsearch options...supressing error messages

Are you passing the options to fminsearch? Please show your fminsearch call and options creation call. Alan Weiss MATLAB mathe...

3 months ago | 0

Answered

How to change the MaxSQPIter in the fmincon solver options?

If you look in the fmincon documentation of options you fiind that MaxSQPIter is a hidden option for the active-set algorithm. ...

How to change the MaxSQPIter in the fmincon solver options?

If you look in the fmincon documentation of options you fiind that MaxSQPIter is a hidden option for the active-set algorithm. ...

3 months ago | 1

| accepted

Answered

Computational Efficiency for Decoupled Optimisation

Because the problems can be solved separately, then it will certainly save memory to solve them separately. Whether it saves tim...

Computational Efficiency for Decoupled Optimisation

Because the problems can be solved separately, then it will certainly save memory to solve them separately. Whether it saves tim...

3 months ago | 0

Answered

Finding a single global solution

The answer is that you are using the wrong solver, and might have a wrong idea about what is possible. For almost all problems,...

Finding a single global solution

The answer is that you are using the wrong solver, and might have a wrong idea about what is possible. For almost all problems,...

3 months ago | 0

| accepted

Answered

Objective function for peak shaving and valley filling of wind turbine electrical load profile

Perhaps your objective should be a new variable m along with the constraint m >= f(i) % for all i where i is the time index an...

Objective function for peak shaving and valley filling of wind turbine electrical load profile

Perhaps your objective should be a new variable m along with the constraint m >= f(i) % for all i where i is the time index an...

3 months ago | 0

Answered

Energy storage optimisation problem - separate charge and discharge constraint

The error message is spot on: when you multiply variables, the problem becomes nonlinear. However, I am sure that you would rath...

Energy storage optimisation problem - separate charge and discharge constraint

The error message is spot on: when you multiply variables, the problem becomes nonlinear. However, I am sure that you would rath...

4 months ago | 0

| accepted

Answered

Look for Only Integer Values or Fixed Point Values in Paretosearch Algorithm

You could try setting the MeshTolerance option to a large value such as 1e-2 or even 1e-1. I'm not sure how it will affect the a...

Look for Only Integer Values or Fixed Point Values in Paretosearch Algorithm

You could try setting the MeshTolerance option to a large value such as 1e-2 or even 1e-1. I'm not sure how it will affect the a...

4 months ago | 0

| accepted

Answered

How to change patternsearch options for paretosearch algorithm?

Did you look in the documentation of options for paretosearch? It states clearly that MeshExpansionFactor is for patternsearch o...

How to change patternsearch options for paretosearch algorithm?

Did you look in the documentation of options for paretosearch? It states clearly that MeshExpansionFactor is for patternsearch o...

4 months ago | 0

| accepted

Answered

How can one write a program to do this? (fminbnd)

You can get the value of out = z simply by asking for it: [xbest,out] = fminbnd(@(x) test(x),0,1) See the fminbnd reference pa...

How can one write a program to do this? (fminbnd)

You can get the value of out = z simply by asking for it: [xbest,out] = fminbnd(@(x) test(x),0,1) See the fminbnd reference pa...

4 months ago | 0

| accepted

Answered

optimal allocation of two assets by minimizing shortfall probability using fmincon

The problem is the you have not defined your objective function as a separate file that the optimization calls. You need to writ...

optimal allocation of two assets by minimizing shortfall probability using fmincon

The problem is the you have not defined your objective function as a separate file that the optimization calls. You need to writ...

4 months ago | 1

Answered

Optimization of Simulink parameters using Global Optimization toolbox

There are a few examples in the documentation using Optimization Toolbox™ with Simulink®: Signal Processing Using fgoalattain ...

Optimization of Simulink parameters using Global Optimization toolbox

There are a few examples in the documentation using Optimization Toolbox™ with Simulink®: Signal Processing Using fgoalattain ...

4 months ago | 0

Answered

Objective and constraints having a common function - Problem based in Matlab 2016b

Perhaps what you are looking for is in Objective and Nonlinear Constraints in the Same Function. Alan Weiss MATLAB mathematica...

Objective and constraints having a common function - Problem based in Matlab 2016b

Perhaps what you are looking for is in Objective and Nonlinear Constraints in the Same Function. Alan Weiss MATLAB mathematica...

4 months ago | 0

| accepted

Answered

nonlinear integer(boolean) programming problem

Is the cost linear in the decision variables? If so, use intlinprog. I assume that you have other constraints that you did not l...

nonlinear integer(boolean) programming problem

Is the cost linear in the decision variables? If so, use intlinprog. I assume that you have other constraints that you did not l...

4 months ago | 0

Answered

fmincon output is converging to infeasible point

While I don't understand your listed code at all, perhaps you will be able to solve your problem using some ideas from the docum...

fmincon output is converging to infeasible point

While I don't understand your listed code at all, perhaps you will be able to solve your problem using some ideas from the docum...

4 months ago | 0

Answered

Optimising using a combination of linear equality constraints and no constraints

I don't know whether your objective function is smooth or not. If it is smooth (differentiable), I would suggest that you use fm...

Optimising using a combination of linear equality constraints and no constraints

I don't know whether your objective function is smooth or not. If it is smooth (differentiable), I would suggest that you use fm...

4 months ago | 0

| accepted

Answered

Bayesian Optimization ionosphere example

I think that you need to do some reading in Model Building and Assessment. Please read about how to specify variables and object...

Bayesian Optimization ionosphere example

I think that you need to do some reading in Model Building and Assessment. Please read about how to specify variables and object...

4 months ago | 0

Answered

Bayesian Optimization ionosphere example

The bayesopt solver passes a table of values to the objective function. The x.n argument takes the 'n' field of the table x, an...

Bayesian Optimization ionosphere example

The bayesopt solver passes a table of values to the objective function. The x.n argument takes the 'n' field of the table x, an...

4 months ago | 0

Answered

How to know the current input for fminsearch?

For optimizing a simulation or ODE, you may want to try patternsearch and surrogateopt. For surrogateopt you will need to bound ...

How to know the current input for fminsearch?

For optimizing a simulation or ODE, you may want to try patternsearch and surrogateopt. For surrogateopt you will need to bound ...

4 months ago | 0

Answered

"Conversion to optim.problemdef.OptimizationExpression from sym is not possible." I am getting this error and I am not able to understand how to resolve this error.

You are mixing several data types in your problem. You cannot use optimization variables, symbolic variables, and numeric variab...

"Conversion to optim.problemdef.OptimizationExpression from sym is not possible." I am getting this error and I am not able to understand how to resolve this error.

You are mixing several data types in your problem. You cannot use optimization variables, symbolic variables, and numeric variab...

4 months ago | 1

| accepted

Answered

How to see the current value of the variable in "fminsearch" optimization?

You can do this using an Output Function. That example shows how to return the history of points, which is I think what you want...

How to see the current value of the variable in "fminsearch" optimization?

You can do this using an Output Function. That example shows how to return the history of points, which is I think what you want...

4 months ago | 2

| accepted

Answered

How to select the design variables on an optimization problem?

That is a reasonable approoach. In fact, some solvers check for "fixed" variables (those with equal upper and lower bounds) and ...

How to select the design variables on an optimization problem?

That is a reasonable approoach. In fact, some solvers check for "fixed" variables (those with equal upper and lower bounds) and ...

4 months ago | 0

| accepted

Answered

How to set a fixed step for lower and upper bounds (lb,ub) in particle swarm optimization?

I am not sure that I understand you. I think that you mean that you have discrete variables, you would like your solution to be ...

How to set a fixed step for lower and upper bounds (lb,ub) in particle swarm optimization?

I am not sure that I understand you. I think that you mean that you have discrete variables, you would like your solution to be ...

4 months ago | 0

| accepted

Answered

Trying to view/display an optimization problem(lmi)

I know nothing about EHCM toolbox. But it is apparent that the toolbox does not use the problem-based approach. The functions sh...

Trying to view/display an optimization problem(lmi)

I know nothing about EHCM toolbox. But it is apparent that the toolbox does not use the problem-based approach. The functions sh...

4 months ago | 0

Answered

2D 'Surface Plot' from 3D geometry

There are some examples in the documentation that might be related to what you want. Alan Weiss MATLAB mathematical toolbox do...

2D 'Surface Plot' from 3D geometry

There are some examples in the documentation that might be related to what you want. Alan Weiss MATLAB mathematical toolbox do...

4 months ago | 0

Answered

Is it possible to introduce time dependent function in any of the coefficient of pde form used in pde toolbox?

This portion of the documentation describes how to set up a general PDE for solution by PDE Toolbox. This is the general workflo...

Is it possible to introduce time dependent function in any of the coefficient of pde form used in pde toolbox?

This portion of the documentation describes how to set up a general PDE for solution by PDE Toolbox. This is the general workflo...

4 months ago | 0

Answered

genetic algorithm to optimize the variable of linear regression(a,b1,b2)

While you CAN solve a linear regression using ga, it is unwise to do so. Your answers will be faster and more accurate while usi...

genetic algorithm to optimize the variable of linear regression(a,b1,b2)

While you CAN solve a linear regression using ga, it is unwise to do so. Your answers will be faster and more accurate while usi...

4 months ago | 0

Answered

Simultaneous minimization of 3 equations to estimate 4 parameters

Did you understand that in general there is no such thing as the minimum of a vector-valued function? gamultiobj finds a Pareto ...

Simultaneous minimization of 3 equations to estimate 4 parameters

Did you understand that in general there is no such thing as the minimum of a vector-valued function? gamultiobj finds a Pareto ...

4 months ago | 0

| accepted