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Evolutionary Learning


Explicit Components

Loop

Octopus


Supervised Learning

Utilities

View

Breeder Settings - All (oEL)

Settings for the NEAT Algorithm to evolve an ANN

Inputs

Name	ID	Description	Type
connectionWeightRange	connectionWeightRange	connectionWeightRange	Number
pOffspringAsexual	pOffspringAsexual	pOffspringAsexual	Number
pOffspringSexual	pOffspringSexual	pOffspringSexual	Number
pInterspeciesMating	pInterspeciesMating	pInterspeciesMating	Number
PopInterCon	PopInterCon	pInitialPopulationInterconnections	Number
pMutateConnectionWeights	pMutateConnectionWeights	pMutateConnectionWeights	Number
pMutateAddNode	pMutateAddNode	pMutateAddNode	Number
pMutateAddModule	pMutateAddModule	pMutateAddModule	Number
pMutateAddConnection	pMutateAddConnection	pMutateAddConnection	Number
pMutateDeleteConnection	pMutateDeleteConnection	pMutateDeleteConnection	Number
pMutateDeleteSimpleNeuron	pMutateDeleteSimpleNeuron	pMutateDeleteSimpleNeuron	Number
connectionMutationParams	connectionMutationParams	Each branch holds parameters for a type of mutation; See the template file for a ready-made. 0: activation proportion [probability of group, 0-1, fraction per total sum approach], 1: perturbation type [0-JiggleEven, 1-JiggleNormalDistribution, 2-Reset], 2: selection type [0-Proportional, 1-Fixed Quantity], 3: proportion [% of connections to be mutated], 4: quantity [how many connections should be mutated], 5: perturbation amount [how much will be added/subtracted to/from the connection weight], 6: sigma [Standard deviation to randomly sample, sample being added/subtracted to connection weight]	Number
compatibilityThreshold	compatibilityThreshold	compatibilityThreshold	Number
compatibilityDisjointCoeff	compatibilityDisjointCoeff	compatibilityDisjointCoeff	Number
compatibilityExcessCoeff	compatibilityExcessCoeff	compatibilityExcessCoeff	Number
compatibilityWeightDeltaCoeff	compatibilityWeightDeltaCoeff	compatibilityWeightDeltaCoeff	Number
elitismProportion	elitismProportion	elitismProportion	Number
selectionProportion	selectionProportion	selectionProportion	Number
targetSpeciesCountMinPercent	targetSpeciesCountMinPercent	targetSpeciesCountMin in Percent of population size	Number
pruningPhaseBeginComplexityThreshold	pruningPhaseBeginComplexityThreshold	pruningPhaseBeginComplexityThreshold	Number
pruningPhaseBeginFitnessStagnationThreshold	pruningPhaseBeginFitnessStagnationThreshold	pruningPhaseBeginFitnessStagnationThreshold	Integer
pruningPhaseEndComplexityStagnationThreshold	pruningPhaseEndComplexityStagnationThreshold	pruningPhaseEndComplexityStagnationThreshold	Integer
speciesExtinctionAge	speciesExtinctionAge	speciesExtinctionAge	Integer
enablePruning	enablePruning	enablePruning	Boolean
Eval MutatedReTries	Eval MutatedReTries	During Breeding, if an evaluation is invalid, how often should evaluation be retried with a mutated version of the initial failed NeatGenome?	Integer

Outputs

Name	ID	Description	Type
Settings	S	Settings for the evolution of Networks	CPPN evolution parameters