No 'FunctionTolerance' or 'TolFun' in gaoptimset

Hi!

I use Matlab 2014b with Global Optimization Toolbox installed and Windows 10.

After running the following in command window:

options = gaoptimset

I get this list of options

options =

PopulationType: 'doubleVector'

PopInitRange: [2x1 double]

PopulationSize: 20

EliteCount: 2

CrossoverFraction: 0.8000

MigrationDirection: 'forward'

MigrationInterval: 20

MigrationFraction: 0.2000

Generations: 100

TimeLimit: Inf

FitnessLimit: -Inf

StallGenLimit: 50

StallTimeLimit: 20

InitialPopulation: []

InitialScores: []

PlotInterval: 1

CreationFcn: @gacreationuniform

FitnessScalingFcn: @fitscalingrank

SelectionFcn: @selectionstochunif

CrossoverFcn: @crossoverscattered

MutationFcn: @mutationgaussian

HybridFcn: []

Display: 'final'

PlotFcns: []

OutputFcns: []

Vectorized: 'off'

with no option for function tolerance ('FunctionTolerance' or 'TolFun').

How can I run ga solver with specific value for function tolerance? How can I set its value in options struct when there is no field for this?

Answer 1

[Walter Roberson]

I just ran that code in the version you indicate, R2014b. I get a different result than you do:

options = gaoptimset

options = 

        PopulationType: []
          PopInitRange: []
        PopulationSize: []
            EliteCount: []
     CrossoverFraction: []
        ParetoFraction: []
    MigrationDirection: []
     MigrationInterval: []
     MigrationFraction: []
           Generations: []
             TimeLimit: []
          FitnessLimit: []
         StallGenLimit: []
             StallTest: []
        StallTimeLimit: []
                TolFun: []
                TolCon: []
     InitialPopulation: []
         InitialScores: []
    NonlinConAlgorithm: []
        InitialPenalty: []
         PenaltyFactor: []
          PlotInterval: []
           CreationFcn: []
     FitnessScalingFcn: []
          SelectionFcn: []
          CrossoverFcn: []
           MutationFcn: []
    DistanceMeasureFcn: []
             HybridFcn: []
               Display: []
              PlotFcns: []
            OutputFcns: []
            Vectorized: []
           UseParallel: []

The results you show are more what you get when you use

options = gaoptimset(@ga)

options = 

        PopulationType: 'doubleVector'
          PopInitRange: []
        PopulationSize: '50 when numberOfVariables <= 5, else 200'
            EliteCount: '0.05*PopulationSize'
     CrossoverFraction: 0.8000
        ParetoFraction: []
    MigrationDirection: 'forward'
     MigrationInterval: 20
     MigrationFraction: 0.2000
           Generations: '100*numberOfVariables'
             TimeLimit: Inf
          FitnessLimit: -Inf
         StallGenLimit: 50
             StallTest: 'averageChange'
        StallTimeLimit: Inf
                TolFun: 1.0000e-06
                TolCon: 1.0000e-03
     InitialPopulation: []
         InitialScores: []
    NonlinConAlgorithm: 'auglag'
        InitialPenalty: 10
         PenaltyFactor: 100
          PlotInterval: 1
           CreationFcn: @gacreationuniform
     FitnessScalingFcn: @fitscalingrank
          SelectionFcn: @selectionstochunif
          CrossoverFcn: @crossoverscattered
           MutationFcn: {[@mutationgaussian]  [1]  [1]}
    DistanceMeasureFcn: []
             HybridFcn: []
               Display: 'final'
              PlotFcns: []
            OutputFcns: []
            Vectorized: 'off'
           UseParallel: 0

but different -- for example PopulationSize is not a specific numeric value like you show.

Actual R2014b has TolFun which is the field you are looking for.

Is it possible you ran in R2014a instead of R2014b ?

[K G]

Thank you for your reply.

It's definitely version 2014b

>> ver

----------------------------------------------------------------------------------------------------

MATLAB Version: 8.4.0.150421 (R2014b)

Operating System: Microsoft Windows 10 Pro Version 10.0 (Build 19044)

Java Version: Java 1.7.0_11-b21 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode

----------------------------------------------------------------------------------------------------

MATLAB Version 8.4 (R2014b)

Global Optimization Toolbox Version 3.3 (R2014b)

If I run the toolbox

>> optimtool ga

then set the problem and the options and press Start, I get the error:

Optimization running.

Error running optimization.

Invalid value for OPTIONS parameter Generations: must be a real positive number (not a string).

So maybe there is something wrong with the installation of the toolbox?

("Generations" value was to 600 and then to default and the error was the same. Even when leaving all the options with the default values, the error was still there.)

[K G]

Well, there was a conflict with a function named 'gaoptimset' belonging to another toolbox added in paths. When I removed that path, everything was normal.

Really sorry for spending your time, and thank you for your help.