Answered

Unrecognized field name "ProblemdefOptions".

It sounds as if you are using the problem-based approach. To do so, you might need to specify some options when you call solve, ...

Unrecognized field name "ProblemdefOptions".

It sounds as if you are using the problem-based approach. To do so, you might need to specify some options when you call solve, ...

3 months ago | 0

Answered

How to plot non-quadratic functions?

This sounds like a multiobjective optimization problem. See Generate and Plot Pareto Front and, if you have Global Optimization ...

How to plot non-quadratic functions?

This sounds like a multiobjective optimization problem. See Generate and Plot Pareto Front and, if you have Global Optimization ...

4 months ago | 0

Answered

How do I iterate f(x)

Is this what you are looking for? f = @(x)exp(x) - 2 - x - x.^2./2; t = linspace(0,5); plot(t,f(t)) OK, there is a root in t...

How do I iterate f(x)

Is this what you are looking for? f = @(x)exp(x) - 2 - x - x.^2./2; t = linspace(0,5); plot(t,f(t)) OK, there is a root in t...

4 months ago | 0

Answered

How do I solve this system of non-linear equations using fsolve?

I don't know if this is helpful, but I suspected that fsolve was having trouble because of the scaling of your variables; everyt...

How do I solve this system of non-linear equations using fsolve?

I don't know if this is helpful, but I suspected that fsolve was having trouble because of the scaling of your variables; everyt...

4 months ago | 0

Answered

How to display the value of a specific component of the objective function after computation is done?

I'd be very interested to know what you think of the nuclear fuel disposal example. But to answer your question, let's look at ...

How to display the value of a specific component of the objective function after computation is done?

I'd be very interested to know what you think of the nuclear fuel disposal example. But to answer your question, let's look at ...

4 months ago | 0

| accepted

Answered

How to make the initial population in genetic algorithm fixed?

In addition to what Walter said, you can set the global random seed. rng default % Or rng(seed) [x,fval] = solve(problem,"Solv...

How to make the initial population in genetic algorithm fixed?

In addition to what Walter said, you can set the global random seed. rng default % Or rng(seed) [x,fval] = solve(problem,"Solv...

5 months ago | 1

| accepted

Answered

Setting Pareto FronI want to set the Pareto Front using genetic algorithm

You can take a larger population. For example, options = optimoptions('gamultiobj','PopulationSize',300); Make sure to pass op...

Setting Pareto FronI want to set the Pareto Front using genetic algorithm

You can take a larger population. For example, options = optimoptions('gamultiobj','PopulationSize',300); Make sure to pass op...

5 months ago | 0

Answered

Gamultiobj takes too long to run. Is there a workaround?

I am sorry, but I do not have time to understand your model in detail. However, I notice that you are using the problem-based ap...

Gamultiobj takes too long to run. Is there a workaround?

I am sorry, but I do not have time to understand your model in detail. However, I notice that you are using the problem-based ap...

5 months ago | 0

| accepted

Answered

how to solve a multi-objective nonlinear optimization problem with constraints ?

For an example that optimizes the solution of an ODE using optimization variables, see Fit ODE Parameters using Optimization Var...

how to solve a multi-objective nonlinear optimization problem with constraints ?

For an example that optimizes the solution of an ODE using optimization variables, see Fit ODE Parameters using Optimization Var...

6 months ago | 0

| accepted

Answered

Which optimization method is better for problems with random steps

In addition to what the other answerers have described, there does exist an optimization solver that can deal with stochastic ob...

Which optimization method is better for problems with random steps

In addition to what the other answerers have described, there does exist an optimization solver that can deal with stochastic ob...

6 months ago | 0

Answered

Optimization problem code sos please help

Have you seen the Problem-Based Optimization Workflow? This approach allows you to create optimization variables as symbolic-typ...

Optimization problem code sos please help

Have you seen the Problem-Based Optimization Workflow? This approach allows you to create optimization variables as symbolic-typ...

6 months ago | 0

Answered

how to use parfor for optim constraints?

Unfortunately, your version of Optimization Toolbox does not have the latest upgrade which uses "static analysis" to speed the c...

how to use parfor for optim constraints?

Unfortunately, your version of Optimization Toolbox does not have the latest upgrade which uses "static analysis" to speed the c...

6 months ago | 1

Answered

On which data is the ML model trained after hyperparameter optimization /Application of trained ML on new training data

With the settings you show, the software does not perform any cross validation. You need to set the OptimizeHyperparameters argu...

On which data is the ML model trained after hyperparameter optimization /Application of trained ML on new training data

With the settings you show, the software does not perform any cross validation. You need to set the OptimizeHyperparameters argu...

6 months ago | 1

Answered

What is the output when Particle Swarm Optimization exceeds MaxTime

I believe that the code returns the point giving the best (lowest) objective function value encountered. Alan Weiss MATLAB mat...

What is the output when Particle Swarm Optimization exceeds MaxTime

I believe that the code returns the point giving the best (lowest) objective function value encountered. Alan Weiss MATLAB mat...

7 months ago | 0

| accepted

Answered

Genetic algorithm only works with integer constraints..

Yakov, your report indicates that the nonlinearly-constrained problem is being solved in the usual way: having very few iteratio...

Genetic algorithm only works with integer constraints..

Yakov, your report indicates that the nonlinearly-constrained problem is being solved in the usual way: having very few iteratio...

8 months ago | 1

Answered

why doesn't the gamultiobj function give me the output of the algorithm?

Your script worked for me. I attach the result. Using these commands, I also got a plot of the Pareto front. opts = optimoption...

why doesn't the gamultiobj function give me the output of the algorithm?

Your script worked for me. I attach the result. Using these commands, I also got a plot of the Pareto front. opts = optimoption...

9 months ago | 0

Answered

GA - objective and constraints have to run the same expensive function

This is a difficult problem because of the way that ga calls functions, both fitness and nonlinear constraint. For most solvers,...

GA - objective and constraints have to run the same expensive function

This is a difficult problem because of the way that ga calls functions, both fitness and nonlinear constraint. For most solvers,...

9 months ago | 0

Answered

A problem in official website 'Least-Squares (Model Fitting) Algorithms'

Thank you for pointing out this long-standing error in the documentation. I will fix the error as soon as practicable. Alan Wei...

A problem in official website 'Least-Squares (Model Fitting) Algorithms'

Thank you for pointing out this long-standing error in the documentation. I will fix the error as soon as practicable. Alan Wei...

9 months ago | 0

| accepted

Answered

Why is fmincon not finding the right solution?

Your mistake is trying to use fmincon to solve a problem with integer constraints. fmincon does not apply to this type of proble...

Why is fmincon not finding the right solution?

Your mistake is trying to use fmincon to solve a problem with integer constraints. fmincon does not apply to this type of proble...

10 months ago | 0

| accepted

Answered

What does useParallel doesn't work with Automatic Differentiation means and how do I fix it?

This is not a problem, this is a notification from internal algorithms. You are using the problem-based approach with supported ...

What does useParallel doesn't work with Automatic Differentiation means and how do I fix it?

This is not a problem, this is a notification from internal algorithms. You are using the problem-based approach with supported ...

10 months ago | 0

Answered

Spacecraft trajectory optimization with GA in Matlab (on/off constant thrust)

You might be interested in this example: Discretized Optimal Trajectory, Problem-Based. The problem formulation is different tha...

Spacecraft trajectory optimization with GA in Matlab (on/off constant thrust)

You might be interested in this example: Discretized Optimal Trajectory, Problem-Based. The problem formulation is different tha...

10 months ago | 0

Answered

I want to find 4 constant with used 1 eq

This is an underdetermined problem, meaning there are many different values of x1, x2, x3, and x4 that work. For example, choose...

I want to find 4 constant with used 1 eq

This is an underdetermined problem, meaning there are many different values of x1, x2, x3, and x4 that work. For example, choose...

10 months ago | 0

Answered

Trouble with plotting iterations in patternsearch optimization

I think that what is going on is that you have nonlinear constraints in your problem. When there are nonlinear constraints, patt...

Trouble with plotting iterations in patternsearch optimization

I think that what is going on is that you have nonlinear constraints in your problem. When there are nonlinear constraints, patt...

10 months ago | 0

| accepted

Answered

Setting conditions for optimization variables

x = optimvar('x', 100, 'LowerBound', 0); ub = Inf(100,1); ub(1:10) = zeros(10,1); x.UpperBound = ub; showbounds(x) It would...

Setting conditions for optimization variables

x = optimvar('x', 100, 'LowerBound', 0); ub = Inf(100,1); ub(1:10) = zeros(10,1); x.UpperBound = ub; showbounds(x) It would...

10 months ago | 0

| accepted

Answered

Supplying gradient for the subset of parameters

The short answer is no: there is no provision to provide analytic gradients for a subset of the parameters. I cannot think of a ...

Supplying gradient for the subset of parameters

The short answer is no: there is no provision to provide analytic gradients for a subset of the parameters. I cannot think of a ...

10 months ago | 0

| accepted

Answered

Is there a way to specify objective and constraint gradients when doing nonlinear optimization in the problem-based framework?

The problem-based approach calculates and uses gradients automatically for supported functions. However, to include gradients of...

Is there a way to specify objective and constraint gradients when doing nonlinear optimization in the problem-based framework?

The problem-based approach calculates and uses gradients automatically for supported functions. However, to include gradients of...

10 months ago | 0

| accepted

Answered

surrogateopt: output function

Try this. lb = [-3 -3]; ub = -lb; opts = optimoptions('surrogateopt','OutputFcn',@listout); obj = @(x)100*(x(2) - x(1)^2)^2 ...

surrogateopt: output function

Try this. lb = [-3 -3]; ub = -lb; opts = optimoptions('surrogateopt','OutputFcn',@listout); obj = @(x)100*(x(2) - x(1)^2)^2 ...

10 months ago | 1

| accepted

Answered

Passing values to PSO options

It works for me. Here is a little test script: fun = @(x)x(1)*exp(-norm(x)^2); lb = [-5,-5]; ub = -lb; opts = optimoptions('...

Passing values to PSO options

It works for me. Here is a little test script: fun = @(x)x(1)*exp(-norm(x)^2); lb = [-5,-5]; ub = -lb; opts = optimoptions('...

10 months ago | 1

Answered

Do I need to normalize input parameters to Particle Swarm Optimization?

You don't usually need to scale your parameters, but many problems are solved more reliably if you do. See Center and Scale Your...

Do I need to normalize input parameters to Particle Swarm Optimization?

You don't usually need to scale your parameters, but many problems are solved more reliably if you do. See Center and Scale Your...

10 months ago | 0

Answered

Possible bug with coneprog?

I think that you have identified a problem with the default options for trajectory problems: the optimality tolerance should be ...

Possible bug with coneprog?

I think that you have identified a problem with the default options for trajectory problems: the optimality tolerance should be ...

10 months ago | 0

| accepted