Genetic Algorithm and Direct Search Toolbox™saoptimget   simulannealbnd
  

saoptimset

Create simulated annealing algorithm or threshold acceptance options structure

Syntax

saoptimset
options = saoptimset
options = saoptimset('param1',value1,'param2',value2,...)
options = saoptimset(oldopts,'param1',value1,...)
options = saoptimset(oldopts,newopts)
options = saoptimset(optimfunction)

Description

saoptimset with no input or output arguments displays a complete list of parameters with their valid values.

options = saoptimset (with no input arguments) creates a structure called options that contains the options, or parameters, for the simulated annealing or threshold acceptance algorithm with all parameters set to [].

options = saoptimset('param1',value1,'param2',value2,...) creates a structure options and sets the value of 'param1' to value1, 'param2' to value2, and so on. Any unspecified parameters are set to []. It is sufficient to type only enough leading characters to define the parameter name uniquely. Case is ignored for parameter names. Note that for string values, correct case and the complete string are required.

options = saoptimset(oldopts,'param1',value1,...) creates a copy of oldopts, modifying the specified parameters with the specified values.

options = saoptimset(oldopts,newopts) combines an existing options structure, oldopts, with a new options structure, newopts. Any parameters in newopts with nonempty values overwrite the corresponding old parameters in oldopts.

options = saoptimset(optimfunction) creates an options structure with all the parameter names and default values relevant to the optimization function optimfunction. optimfunction can be either 'simulannealbnd' or 'threshacceptbnd'. For example,

saoptimset('threshacceptbnd')

ans = 
          AnnealingFcn: @annealingfast
        TemperatureFcn: @temperatureexp
         AcceptanceFcn: @acceptancethresh
                TolFun: 1.0000e-006
        StallIterLimit: '500*numberofvariables'
           MaxFunEvals: '3000*numberofvariables'
             TimeLimit: Inf
               MaxIter: Inf
        ObjectiveLimit: -Inf
               Display: 'final'
       DisplayInterval: 10
             HybridFcn: []
        HybridInterval: 'end'
              PlotFcns: []
          PlotInterval: 1
            OutputFcns: []
    InitialTemperature: 100
      ReannealInterval: 100
              DataType: 'double'

Options

The following table lists the options you can set with saoptimset. See Options Reference for a complete description of these options and their values. Values in {} denote the default value. You can also view the options parameters by typing saoptimset at the command line.

OptionDescriptionValues

AcceptanceFcn

Handle to the function the algorithm uses to determine if a new point is accepted

Function handle | @acceptancethresh |{@acceptancesa} for simulannealbnd or {@acceptancethresh} for threshacceptbnd

AnnealingFcn

Handle to the function the algorithm uses to generate new points

Function handle | @annealingboltz | {@annealingfast}

DataType

Type of decision variable

'custom' | {'double'}

Display

Level of display

'off' | 'iter' | 'diagnose' | {'final'}

DisplayInterval

Interval for iterative display

Positive integer | {10}

HybridFcn

Automatically run HybridFcn (another optimization function) during or at the end of iterations of the solver

Function handle | @fminsearch @patternsearch @fminunc @fmincon {[]}

or

1-by-2 cell array | {@solver, hybridoptions}, where solver = fminsearch, patternsearch, fminunc, or fmincon {[]}

HybridInterval

Interval (if not 'end' or 'never') at which HybridFcn is called

Positive integer | 'never' | {'end'}

InitialTemperature

Initial value of temperature

Positive integer |{100}

MaxFunEvals

Maximum number of objective function evaluations allowed

Positive scalar | {3000*numberOfVariables}

MaxIter

Maximum number of iterations allowed

Positive scalar | {Inf}

ObjectiveLimit

Minimum objective function value desired

Scalar | {Inf}

OutputFcns

Function(s) get(s) iterative data and can change options at run time

Function handle or cell array of function handles | {[]}

PlotFcns

Plot function(s) called during iterations

Function handle or cell array of function handles | @saplotbestf | @saplotbestx | @saplotf | @saplotstopping | @saplottemperature | {[]}

PlotInterval

Plot functions are called at every interval

Positive integer |{1}

ReannealInterval

Reannealing interval

Positive integer | {100}

StallIterLimit

Number of iterations over which average change in fitness function value at current point is less than options.TolFun

Positive integer | {500*numberOfVariables}

TemperatureFcn

Function used to update temperature schedule

Function handle | @temperatureboltz | @temperaturefast | {@temperatureexp}

TimeLimit

The algorithm stops after running for TimeLimit seconds

Positive scalar | {Inf}

TolFun

Termination tolerance on function value

Positive scalar | {1e-6}

See Also

For more about these options, see Simulated Annealing and Threshold Acceptance Algorithm Options.

saoptimget, simulannealbnd, threshacceptbnd

  

saoptimgetsaoptimget simulannealbndsimulannealbnd

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