Config:ModelBuilder

AdaptiveModelBuilder

rational

Build rational models

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rational" type="SequentialModelBuilder" combineOutputs="false">
   <Option key="maximumRunLength" value="30"/>
   <Option key="decay" value=".99"/>
   <Option key="historySize" value="15"/>
   <Option key="strategy" value="best"/>
   <[[Config:ModelInterface|ModelInterface]] type="RationalSequentialInterface">
      <Option key="weightBounds" value="1,40"/>
      <Option key="percentBounds" value="1,100"/>
      <Option key="maxDegrees" value="100"/>
      <Option key="percentRational" value="70"/>
      <Option key="frequencyVariable" value="auto"/>
      <Option key="basis" value="chebyshev"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rationalgenetic

Build rational models using a genetic algorithm

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rationalgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="15"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] type="RationalGeneticInterface">
      <Option key="crossoverFcn" value="crossover"/>
      <Option key="mutationFcn" value="mutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="initial"/>
      <Option key="weightBounds" value="1,40"/>
      <Option key="percentBounds" value="1,100"/>
      <Option key="maxDegrees" value="100"/>
      <Option key="percentRational" value="70"/>
      <Option key="frequencyVariable" value="auto"/>
      <Option key="basis" value="chebyshev"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

RBF

Build Radial Basis Function models

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="RBF" type="SequentialModelBuilder" combineOutputs="false">
   <Option key="maximumRunLength" value="20"/>
   <Option key="decay" value=".9"/>
   <Option key="historySize" value="15"/>
   <Option key="strategy" value="best"/>
   <[[Config:ModelInterface|ModelInterface]] type="BFSequentialInterface">
      <Option key="type" value="RBF"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="multiquadric" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="exponential" min=".1,.5" max="5,2" scale="log,lin"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

RBFgenetic

Build Radial Basis Function models using a genetic algorithm

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="RBFgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="15"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] type="BFGeneticInterface">
      <Option key="type" value="RBF"/>
      <Option key="crossoverFcn" value="crossover"/>
      <Option key="mutationFcn" value="mutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="initial"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="multiquadric" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="exponential" min=".1,.5" max="5,2" scale="log,lin"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

DACE

Build DACE models (= functionally equivalent to Kriging, but a custom implementation)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="DACE" type="SequentialModelBuilder" combineOutputs="false">
   <Option key="maximumRunLength" value="20"/>
   <Option key="decay" value=".9"/>
   <Option key="historySize" value="15"/>
   <Option key="strategy" value="best"/>
   <[[Config:ModelInterface|ModelInterface]] type="BFSequentialInterface">
      <Option key="type" value="DACE"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="multiquadric" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="exponential" min=".1,.5" max="5,2" scale="log,lin"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

DACEgenetic

Build DACE models (= functionally equivalent to Kriging, but a custom implementation)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="DACEgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="15"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] type="BFGeneticInterface">
      <Option key="type" value="DACE"/>
      <Option key="crossoverFcn" value="crossover"/>
      <Option key="mutationFcn" value="mutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="initial"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="multiquadric" min=".1" max="5" scale="log"/>
      <[[Config:BasisFunction|BasisFunction]] name="exponential" min=".1,.5" max="5,2" scale="log,lin"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

DACEps

Build DACE models (= functionally equivalent to Kriging, but a custom implementation)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="DACEps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="dace" type="BFOptimizationInterface">
      <Option key="type" value="DACE"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

DACEpso

Build DACE models (= functionally equivalent to Kriging, but a custom implementation)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="DACEpso" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="true"/>
   <Option key="restartStrategy" value="intelligent"/>
   <[[Config:Optimizer|Optimizer]] id="pso" type="PSOtOptimizer">
      <Option key="typePSO" value="0"/>
      <Option key="seedPSO" value="1"/>
      <Option key="popSize" value="10"/>
      <Option key="maxiters" value="10"/>
      <Option key="epochInertia" value="8"/>
      <Option key="gradientTermination" value="8"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="dace" type="BFOptimizationInterface">
      <Option key="type" value="DACE"/>
      <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
      <Option key="regression" value="-1,0,1,2"/>
      <Option key="backend" value="AP"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

krigingsim

Build kriging models using Simulated Annealing (requires matlab v7.4)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="krigingsim" type="SimAnnealingModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingInterface">
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

krigingps

Build kriging models using pattern search

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="krigingps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingInterface">
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

krigingoptim

Build kriging models using the matlab optimization toolbox

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="krigingoptim" type="OptimToolboxModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingInterface">
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

kriginggenetic

Build kriging models using a genetic algorithm

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="kriginggenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="doubleVector"/>
   <Option key="populationSize" value="10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingGeneticInterface">
      <Option key="creationFcn" value="@gacreationuniform"/>
      <Option key="crossoverFcn" value="@crossoversinglepoint"/>
      <Option key="mutationFcn" value="@mutationgaussian"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

krigingpso

Build kriging models using PSO

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="krigingpso" type="PSOModelBuilder" combineOutputs="false">
   <Option key="plotOptimSurface" value="false"/>
   <Option key="restartStrategy" value="intelligent"/>
   <[[Config:Optimizer|Optimizer]] id="pso" type="PSOtOptimizer">
      <Option key="typePSO" value="0"/>
      <Option key="seedPSO" value="1"/>
      <Option key="popSize" value="10"/>
      <Option key="maxiters" value="10"/>
      <Option key="epochInertia" value="8"/>
      <Option key="gradientTermination" value="8"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingInterface">
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

krigingrandom

Build kriging models randomly

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="krigingrandom" type="RandomModelBuilder" combineOutputs="false">
   <Option key="runSize" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="kriging" type="KrigingInterface">
      <Option key="lowerThetaBound" value="-5"/>
      <Option key="upperThetaBound" value="3"/>
      <Option key="regressionFunction" value="regpoly0"/>
      <Option key="correlationFunction" value="corrgauss"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

splines

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="splines" type="SequentialModelBuilder" combineOutputs="false">
   <Option key="maximumRunLength" value="30"/>
   <Option key="decay" value=".99"/>
   <Option key="historySize" value="15"/>
   <Option key="strategy" value="best"/>
   <[[Config:ModelInterface|ModelInterface]] type="SplineSequentialInterface">
      <Option key="smoothingBounds" value="0,1"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

splinesgenetic

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="splinesgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="spline" type="SplineGeneticInterface">
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="smoothingBounds" value="0,1"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

splinessim

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="splinessim" type="SimAnnealingModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="spline" type="SplineInterface">
      <Option key="smoothingBounds" value="0,1"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

splinesps

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="splinesps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="spline" type="SplineInterface">
      <Option key="smoothingBounds" value="0,1"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

splinesoptim

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="splinesoptim" type="OptimToolboxModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="spline" type="SplineInterface">
      <Option key="smoothingBounds" value="0,1"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

annbatch

Maintain a population (batch) of feedforward neural networks and mutation to search the parameter space See the matlab neural network toolbox for more information

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="annbatch" type="BatchModelBuilder" combineOutputs="false">
   <Option key="batchSize" value="10"/>
   <Option key="maxBatches" value="10"/>
   <Option key="maxBatchesNoImprovement" value="4"/>
   <[[Config:ModelInterface|ModelInterface]] id="ann" type="ANNBatchInterface">
      <Option key="initialSize" value="3,3"/>
      <Option key="allowedLearningRules" value="trainbr"/>
      <Option key="performFcn" value=""/>
      <Option key="epochs" value="300"/>
      <Option key="trainingTime" value="Inf"/>
      <Option key="initWeightRange" value="-0.8,0.8"/>
      <Option key="hiddenUnitDelta" value="-2,3"/>
      <Option key="trainingGoal" value="0"/>
      <Option key="trainingProgress" value="NaN"/>
      <Option key="trainMethod" value="auto"/>
      <Option key="earlyStoppingRatios" value="0.80,0.20,0"/>
      <Option key="transferFunctionTemplate" value="tansig,purelin"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

anngenetic

Use the matlab gads toolbox to select ANN parameters using a GA

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="anngenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="ann" type="ANNGeneticInterface">
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="initialSize" value="3,3"/>
      <Option key="allowedLearningRules" value="trainbr,trainlm,trainscg"/>
      <Option key="performFcn" value=""/>
      <Option key="epochs" value="300"/>
      <Option key="trainingTime" value="Inf"/>
      <Option key="initWeightRange" value="-0.8,0.8"/>
      <Option key="hiddenUnitDelta" value="-2,3"/>
      <Option key="trainingGoal" value="0"/>
      <Option key="trainingProgress" value="NaN"/>
      <Option key="trainMethod" value="auto"/>
      <Option key="earlyStoppingRatios" value="0.80,0.20,0"/>
      <Option key="transferFunctionTemplate" value="tansig,purelin"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

annrandom

Random ANN model builder, usefull as a baseline comparison

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="annrandom" type="RandomModelBuilder" combineOutputs="false">
   <Option key="runSize" value="10"/>
   <[[Config:ModelInterface|ModelInterface]] id="ann" type="ANNInterface">
      <Option key="allowedLearningRules" value="trainbr,trainlm,trainscg"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

fanngenetic

Use the matlab gads toolbox to select ANN parameters using a GA (based on the FANN library)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="fanngenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="fann" type="FANNGeneticInterface">
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="initialSize" value="4,4"/>
      <Option key="epochs" value="1500"/>
      <Option key="initWeightRange" value="-0.8,0.8"/>
      <Option key="hiddenUnitDelta" value="-2,2"/>
      <Option key="trainingGoal" value="0"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

nanngenetic

Use the matlab gads toolbox to select ANN parameters using a GA (based on the NNSYSID library)

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="nanngenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="nann" type="NANNGeneticInterface">
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="initialSize" value="10"/>
      <Option key="epochs" value="500"/>
      <Option key="initWeightRange" value="-0.8,0.8"/>
      <Option key="hiddenUnitDelta" value="-2,3"/>
      <Option key="allowedPruneTechniques" value="0,1,2,3,4"/>
      <Option key="threshold" value="0.2"/>
      <Option key="retrain" value="50"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmgenetic

Use the matlab gads toolbox to select LSSVM parameters using a GA

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="LSSVM" type="SVMGeneticInterface">
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmps

Use the matlab gads toolbox to select LSSVM parameters using Pattern Search

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmoptim

Use the matlab optimization toolbox to select LSSVM parameters

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmoptim" type="OptimToolboxModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmpso

Use the PSO toolbox to select LSSVM parameters using Particle Swarm Optimization

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmpso" type="PSOModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <[[Config:Optimizer|Optimizer]] id="pso" type="PSOtOptimizer">
      <Option key="typePSO" value="0"/>
      <Option key="seedPSO" value="1"/>
      <Option key="popSize" value="10"/>
      <Option key="maxiters" value="10"/>
      <Option key="epochInertia" value="8"/>
      <Option key="gradientTermination" value="8"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmsim

Use the matlab gads toolbox to select LSSVM parameters using simulated annealing

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmsim" type="SimAnnealingModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmdirect

Use the DIviding RECtangles algorithm to optimize the LS-SVM hyperparameters

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmdirect" type="OptimizerModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <[[Config:Optimizer|Optimizer]] id="opt" type="DirectOptimizer">
      <Option key="maxits" value="500"/>
      <Option key="maxevals" value="100"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

lssvmrandom

Generate random LSSVM models

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="lssvmrandom" type="RandomModelBuilder" combineOutputs="false">
   <Option key="runSize" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="lssvm"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmgenetic

Use the matlab gads toolbox to select SVM parameters using a GA

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmgenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMGeneticInterface">
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmps

Use the matlab gads toolbox to select SVM parameters using Pattern Search

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmsim

Use the matlab gads toolbox to select SVM parameters using simulated annealing

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmsim" type="SimAnnealingModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmoptim

Use the matlab optimization toolbox to select SVM parameters

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmoptim" type="OptimToolboxModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmpso

Use the PSO toolbox to select SVM parameters using Particle Swarm Optimization

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmpso" type="PSOModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <[[Config:Optimizer|Optimizer]] id="pso" type="PSOtOptimizer">
      <Option key="typePSO" value="0"/>
      <Option key="seedPSO" value="1"/>
      <Option key="popSize" value="10"/>
      <Option key="maxiters" value="10"/>
      <Option key="epochInertia" value="8"/>
      <Option key="gradientTermination" value="8"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmdirect

Use the DIviding RECtangles algorithm to optimize the SVM hyperparameters

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmdirect" type="OptimizerModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="plotOptimSurface" value="false"/>
   <[[Config:Optimizer|Optimizer]] id="opt" type="DirectOptimizer">
      <Option key="maxits" value="500"/>
      <Option key="maxevals" value="100"/>
   </[[Config:Optimizer|Optimizer]]>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

svmrandom

Generate random SVMs

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="svmrandom" type="RandomModelBuilder" combineOutputs="false">
   <Option key="runSize" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMInterface">
      <Option key="backend" value="libSVM"/>
      <Option key="type" value="epsilon-SVR"/>
      <Option key="kernel" value="rbf"/>
      <Option key="kernelParamBounds" value="-4,4"/>
      <Option key="regParamBounds" value="-5,5"/>
      <Option key="nu" value="0.01"/>
      <Option key="epsilon" value="0"/>
      <Option key="stoppingTolerance" value="1e-6"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnnbatch

Batch model builder for Radial Basis Function Neural networks See the matlab neural network toolbox for more information

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnnbatch" type="BatchModelBuilder" combineOutputs="false">
   <Option key="maxBatches" value="10"/>
   <Option key="maxBatchesNoImprovement" value="3"/>
   <Option key="batchSize" value="10"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNBatchInterface">
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,2"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnngenetic

Genetic model builder for Radial Basis Function Neural networks See the matlab neural network toolbox for more information

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnngenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="eliteCount" value="1"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNGeneticInterface">
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="crossoverFcn" value="simpleCrossover"/>
      <Option key="mutationFcn" value="simpleMutation"/>
      <Option key="constraintFcn" value="[]"/>
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,2"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnnoptim

Build Radial Basis Function Neural networks using the Matlab Optimization Toolbox

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnnoptim" type="OptimToolboxModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="300"/>
   <Option key="maxFunEvals" value="300"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNInterface">
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,3"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnnps

Build Radial Basis Function Neural networks using Pattern Search

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnnps" type="PatternSearchModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <Option key="searchMethod" value="GPSPositiveBasis2N"/>
   <Option key="pollMethod" value="MADSPositiveBasis2N"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNInterface">
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,3"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnnsim

Build Radial Basis Function Neural networks using Pattern Search

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnnsim" type="SimAnnealingModelBuilder" combineOutputs="false">
   <Option key="restartStrategy" value="intelligent"/>
   <Option key="maxIterations" value="500"/>
   <Option key="maxFunEvals" value="100"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNInterface">
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,3"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

rbfnnrandom

Build random RBF neural networks

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="rbfnnrandom" type="RandomModelBuilder" combineOutputs="false">
   <Option key="runSize" value="10"/>
   <[[Config:ModelInterface|ModelInterface]] id="rbfnn" type="RBFNNInterface">
      <Option key="goal" value="0"/>
      <Option key="spread" value="1"/>
      <Option key="spreadBounds" value="0.0001,3"/>
      <Option key="maxNeurons" value="100"/>
      <Option key="trainingProgress" value="Inf"/>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

heterogenetic

A heterogeneous genetic model builder. Uses a genetic algorithm with speciation (island model) to evolve different model types together. The models types compete against each other until the best model prevails.

<[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]] id="heterogenetic" type="GeneticModelBuilder" combineOutputs="false">
   <Option key="populationType" value="custom"/>
   <Option key="populationSize" value="10,10,10"/>
   <Option key="maxGenerations" value="10"/>
   <Option key="crossoverFraction" value="0.7"/>
   <Option key="eliteCount" value="1"/>
   <Option key="stallGenLimit" value="4"/>
   <Option key="stallTimeLimit" value="Inf"/>
   <Option key="migrationDirection" value="forward"/>
   <Option key="migrationFraction" value="0.1"/>
   <Option key="migrationInterval" value="3"/>
   <Option key="extinctionPrevention" value="no"/>
   <[[Config:ModelInterface|ModelInterface]] id="hetero" type="HeterogeneousGeneticInterface">
      <Option key="creationFcn" value="createInitialPopulation"/>
      <Option key="crossoverFcn" value="crossover"/>
      <Option key="mutationFcn" value="mutate"/>
      <Option key="constraintFcn" value="[]"/>
      <[[Config:ModelInterface|ModelInterface]] id="Ensemble" type="EnsembleGeneticInterface">
         <Option key="crossoverFcn" value="simpleCrossover"/>
         <Option key="mutationFcn" value="simpleMutation"/>
         <Option key="maxSize" value="4"/>
         <Option key="equalityThreshold" value="0.05"/>
      </[[Config:ModelInterface|ModelInterface]]>
      <[[Config:ModelInterface|ModelInterface]] id="SVM" type="SVMGeneticInterface">
         <Option key="creationFcn" value="createInitialPopulation"/>
         <Option key="crossoverFcn" value="simpleCrossover"/>
         <Option key="mutationFcn" value="simpleMutation"/>
         <Option key="constraintFcn" value="[]"/>
         <Option key="backend" value="libSVM"/>
         <Option key="type" value="epsilon-SVR"/>
         <Option key="kernel" value="rbf"/>
         <Option key="kernelParamBounds" value="-4,4"/>
         <Option key="regParamBounds" value="-5,5"/>
         <Option key="nu" value="0.01"/>
         <Option key="epsilon" value="0"/>
         <Option key="stoppingTolerance" value="1e-5"/>
      </[[Config:ModelInterface|ModelInterface]]>
      <[[Config:ModelInterface|ModelInterface]] type="RationalGeneticInterface">
         <Option key="crossoverFcn" value="crossover"/>
         <Option key="mutationFcn" value="mutation"/>
         <Option key="constraintFcn" value="[]"/>
         <Option key="creationFcn" value="initial"/>
         <Option key="weightBounds" value="1,40"/>
         <Option key="percentBounds" value="1,100"/>
         <Option key="percentRational" value="70"/>
         <Option key="frequencyVariable" value="off"/>
         <Option key="basis" value="chebyshev"/>
      </[[Config:ModelInterface|ModelInterface]]>
      <[[Config:ModelInterface|ModelInterface]] type="BFGeneticInterface">
         <Option key="type" value="RBF"/>
         <Option key="crossoverFcn" value="crossover"/>
         <Option key="mutationFcn" value="mutation"/>
         <Option key="constraintFcn" value="[]"/>
         <Option key="creationFcn" value="initial"/>
         <[[Config:BasisFunction|BasisFunction]] name="gaussian" min=".1" max="5" scale="log"/>
         <[[Config:BasisFunction|BasisFunction]] name="multiquadric" min=".1" max="5" scale="log"/>
         <[[Config:BasisFunction|BasisFunction]] name="exponential" min=".1,.5" max="5,2" scale="log,lin"/>
         <Option key="regression" value="-1,0,1,2"/>
         <Option key="backend" value="Direct"/>
      </[[Config:ModelInterface|ModelInterface]]>
   </[[Config:ModelInterface|ModelInterface]]>
</[[Config:AdaptiveModelBuilder|AdaptiveModelBuilder]]>

Config:ModelBuilder

AdaptiveModelBuilder

rational

rationalgenetic

RBF

RBFgenetic

DACE

DACEgenetic

DACEps

DACEpso

krigingsim

krigingps

krigingoptim

kriginggenetic

krigingpso

krigingrandom

splines

splinesgenetic

splinessim

splinesps

splinesoptim

annbatch

anngenetic

annrandom

fanngenetic

nanngenetic

lssvmgenetic

lssvmps

lssvmoptim

lssvmpso

lssvmsim

lssvmdirect

lssvmrandom

svmgenetic

svmps

svmsim

svmoptim

svmpso

svmdirect

svmrandom

rbfnnbatch

rbfnngenetic

rbfnnoptim

rbfnnps

rbfnnsim

rbfnnrandom

heterogenetic

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