Answered
MultiStart runs less than specified number of runs
This can happen when the StartPointsToRun property in ms is not 'all'. In that case, many start points can be skipped in a run b...

4 years ago | 1

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Answered
Problems using function fsolve
Check the suggestions in fsolve Could Not Solve Equation. Alan Weiss MATLAB mathematical toolbox documentation

4 years ago | 0

Answered
4 variables problem optimization with Genetic Algorithm
ga is a stochastic algorithm, and is expected to give different results on different runs. You can get reproducible behavior by ...

4 years ago | 1

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Answered
Lsqnonlin optimization unexpected behavior
lsqnonlin is a gradient-based solver. It first attempts to estimate the local gradient by small finite difference steps. If your...

4 years ago | 0

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Which optimization tool should I use for my case?
I'm not sure that I understand what you are doing, but I think that you could use the fminbnd solver along with some interpolati...

4 years ago | 0

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Answered
How to increase accuracy of optimization using genetic algorithm of the following code? Value obtained by ga = -2360 (approx.) and Actual value is = -2390. Percentage of accuracy by ga = 98.7%
You are getting a pretty good answer from the wrong solver. Your objective and constraints are all smooth, so you should not be ...

4 years ago | 0

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Answered
Multi objective Bayesopt in MATLAB
There is no provision for using bayesopt for multiobjective problems. You have several choices: Use bayesopt as the optimizer i...

4 years ago | 0

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Problem-Based Optimisation - "Linprog stopped because it exceeded its allocated memory"
Sorry, I do not know why the default algorithm gives this error. The 'interior-point' algorithm solves it easily. dt = 15/60; ...

4 years ago | 0

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Answered
How can I define fitness limit for multiple objectives when using gamultiobj
You can set Nonlinear Constraints in gamultiobj to keep the objective functions within the limits you like. Or you can simply po...

4 years ago | 0

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Answered
What should be the optimization method for my case?
For such a general question I can give only general advice. See the topics Optimizing a Simulation or Ordinary Differential Equa...

4 years ago | 0

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Answered
How to define discrete variables in GA
Take a look at the Mixed Integer ga Optimization topic, and in particular the example Solving a Mixed Integer Engineering Design...

4 years ago | 1

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Finding solution for array that satisfies given constraints and gives desired output
I don't know if this is what you want, but the problem-based approach in Optimization Toolbox™ handles your equations easily. E...

4 years ago | 0

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Answered
FMINCON is not providing feasible answers
Your nonlinear constraint functions all look linear to me. I suggest that you remove the nonlinear constraints from the problem ...

4 years ago | 0

Answered
Optimization problem with complex number in patternsearch command
Global Optimization Toolbox solvers such as patternsearch require real numbers only as control variables. It is fine to calculat...

4 years ago | 1

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Answered
Using fmincon with for loop
I think that you need to define nonlcon this way: nonlcon = @(x)myf(x, Ptloademod, Ptloadh,paramb,paramc,parama); Notice that ...

5 years ago | 0

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Why each time algorithm "interior point" is shown in output even if I use different algorithm?
You didn't pass the options to fmincon. [x,fval,exitflag,output]= fmincon(FUN,xo,[],[],[],[],[],[],[],OPTIONS); Alan Weiss MA...

5 years ago | 0

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Answered
Using fminsearch with a function containing summation (via for loop)
Youu have several typos in the problem. I corrected them as best I could, but please make sure that I didn't change anything tha...

5 years ago | 0

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Answered
what is the maximum population size handled by GA ? What are your advices for large MINLP problems?
General MINLP with over 100 variables are not solvable globally. How can I make this blanket statement? For a general MINLP with...

5 years ago | 0

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Answered
fitcsvm cross-validation
As shown in this doc example, the cross-validation loss is reported at the command line and plotted by default (I see that you t...

5 years ago | 0

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Answered
Start genetic algorithm more than once until solution is found
Of course, just write a loop. runon = true while runon % Call ga with option set to stop early if necessary % If you didn't ...

5 years ago | 0

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someone please help me. I have made a 2 variable code for optimization, I want code for "n" no. of variables.
It is probably a bit easier to write code for NUMERIC minimizaton of an arbitrary-sized expression than a hybrid SYMBOLIC minimi...

5 years ago | 0

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Writing complicated equations for problem-based optimization
I think that you need to keep clear in your mind (and code) what is an optimization variable and what is an optimization express...

5 years ago | 0

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Answered
3D Scatterplot and Pareto Front visualization
Did you try the scatteredinterpolant code from the answer? Modify it for your data: F = scatteredInterpolant(numbers(:,1),numbe...

5 years ago | 0

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Nonlinear Constraints in Multijob optimization
Your constraints can be formulated as nonlinear constraints. Make sure that you read and follow the note on that page. Alan Wei...

5 years ago | 0

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Error with lsqnonlin : Error in lsqncommon (line 14) if any(~isfinite(initVals.F))
Apparently, some initial values are not finite. You gave a value of x0 so that your objective function evaluated at x0 gives som...

5 years ago | 0

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Answered
Initial population in genetic algorithm
To get reproducible results, set the random number generator before you call ga. For example, rng default % or rng(1) or whate...

5 years ago | 0

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Answered
how to solve this error: objective function is returning undefined values at initial point. fsolve cannot continue.
I suggest that you learn to use the debugger. I put a break point in the solve_nch function, and found that at the first functio...

5 years ago | 1

Answered
Matrix array in ga
I think that you are making a mistake by choosing the bitstring data type. Doing so loses the possibility of having constraints ...

5 years ago | 0

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