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Calling a function within an fmincon slows it down?
One more thing you can try is to reduce the number of function evaluations using this technique. I am not sure what "hello" is ...

más de 5 años hace | 0

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FMINCON first order optimality non-zero
From your problem description it is very likely that the objective function is not smooth. Your black box functions may respond ...

más de 5 años hace | 0

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Bayesian Optimization: How should we parameterize hidden units for changing number of layers (depth) of a BiLSTM network using bayesopt?
I believe that you can perform the optimization the way you want using conditional constraints. If M is the number of layers tha...

más de 5 años hace | 0

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Using fmincon with multiple inequality constraints
You can easily formulate these constraint for fmincon using the recipes in Write Constraints. Your first two constraints, and ,...

más de 5 años hace | 1

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Problem using FSOLVE 'OptimalityTolerance' is not an option
I am surprised that you got that error, but here is what the fsolve documentation has to say about that option: Internally, the...

más de 5 años hace | 0

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find optimal hyperparameters in SVM
Read what the bayesopt documentation has to say about your chosen acquisition function: "Acquisition functions whose names inclu...

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Problem with non-linear least squares fit to a non-linear model function using Gauss-Newtons method
I suggest that you try to follow the example Curve Fitting via Optimization. If you have an Optimization Toolbox license, you wo...

más de 5 años hace | 0

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Is fmincon correct for this problem?
I see that you define a quantity Y in your nonlinear constraint expression, but you don't seem to use it. Was this an oversight?...

más de 5 años hace | 0

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Error when using fminsearch to find least squares fit of data using a given equation
I suggest that you use the debugger. Alan Weiss MATLAB mathematical toolbox documentation

más de 5 años hace | 0

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is there a gradient based and mixed integer optimization algorithm in Matlab?
No, the only two solvers for nonlinear integer-constrained problems are ga and surrogateopt, neither of which is gradient-based....

más de 5 años hace | 0

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penalty fitness value not changing
There may be only one feasible point that ga found. Alan Weiss MATLAB mathematical toolbox documentation

más de 5 años hace | 0

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fsolve function give poor results for multiple equations
I wasn't able to find a very good answer either. I'm not sure that one exists. I think that lsqnonlin is a more appropriate solv...

más de 5 años hace | 0

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How to use "fmincon" function to find the minimum of a function with nonlinear constraints
I think that you are on the right track using fmincon. See the function reference page for details. Also, there is a topic on ho...

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Three inequality constraints for multi-objective genetic algorithm
These are linear constraints, so you should not use a nonlinear constraint function (which has errors in signs in any case: you ...

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symbolic matrices optimization with fmincon
I was able to modify your program to run. I don't know if it is correct, but at least it runs. chi= rand(4,4) %% for example s...

más de 5 años hace | 0

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How can I require an optimization function to only consider a step successful if it decreases the cost function by a user-defined amount?
I think that you can accomplish what you want by using a custom search function. The syntax of a search function is function [s...

más de 5 años hace | 0

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What are the limitations for gamultiobj
There is no built-in limitation to either the number of variables or the number of objectives. Depending on your software versio...

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How to Iteratively optimise an equation [OPTIMTOOLBOX]
Are you asking how to write a loop in MATLAB or how to store the results? This is just a sketch, it is missing some values, but ...

más de 5 años hace | 0

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MultiStart Parallel processing doubt
I am not an expert in MATLAB parallel computation, but I believe that generally the answer is no to both of your questions. Whil...

más de 5 años hace | 0

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Set hessian function only once for fmincon
It seems to me that if you are changing the problem Hessian at each iteration then you will have to change the fmincon Hessian a...

más de 5 años hace | 1

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how to define sqrt in Optimization?
I'm not sure what you are talking about. If you are trying to extend the problem-based method, then the short answer is you are ...

casi 6 años hace | 0

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Restriction of upper and lower boundary values to single decimal place in GA.
You are free to use Mixed Integer ga Optimization and have your integer problem variables be ten times your real variables. Ala...

casi 6 años hace | 1

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Is it possible before to run the optimization with GA or whatever meta-heuristic methods (algorihtm of optimization) you can choose or define the step or the increment of the bound of variables ?
You are free to use Mixed Integer ga Optimization and define your resulting variables as, for example, integer/100 or integer/20...

casi 6 años hace | 1

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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...

casi 6 años hace | 0

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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 ...

casi 6 años hace | 0

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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 ...

casi 6 años hace | 0

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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...

casi 6 años hace | 0

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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. ...

casi 6 años hace | 1

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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...

casi 6 años hace | 0

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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,...

casi 6 años hace | 0

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