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Assign(TPersistent)

Represents method Assign(TPersistent). (Overrides RSGeneticBase.TRSCustomGeneticComponent.Assign(TPersistent).)

AssignAll(TPersistent)

Represents method AssignAll(TPersistent).

CreateInstructions(TCollectionItemClass)

Creates the instructions collection

CreateNode(TInstruction,TNode)

Creates a node (genetic program element) of the correct type and initializes its Instruction and Parent to the parameters

CreatePopulation(TRSIndividualClass)

Creates the population collection (Overrides RSGeneticBase.TRSCustomGeneticComponent.CreatePopulation(TRSIndividualClass).)

DefineProperties(TFiler)

Represents method DefineProperties(TFiler). (Overrides RSGeneticBase.TRSCustomGeneticComponent.DefineProperties(TFiler).)

Describe(TStrings,String)

Provides a description of the genetic programming component and its important properties. The description is added to the Strings parameter. The TabStr parameter specifies the indentation to use when adding sub-strings. (Overrides RSGeneticBase.TRSCustomGeneticComponent.Describe(TStrings,String).)

DoAntiBloating(TRSIndividual,TRSIndividual,TRSIndividual,Boolean)

Performs the actual anti-bloating strategy after the new child has been created. The IsChildModified parameter indicates if the child was mutated or inverted

DoCalculateWeightedFitnessStatistics

Calculates the weighted fitness statistics (max, min, avg) for one generation. The method accesses each individual's WeightedFitness property which may force a fitness evaulation to occur. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoCalculateWeightedFitnessStatistics.)

DoConstantMutation(TIndividual)

Performs a constant mutation (changes the constant of a tree node)

DoCrossover(TRSIndividual,TRSIndividual,TRSIndividual,TRSIndividual)

Performs the actual crossover operation. The decision to crossover has already been decided by the time this method is called. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoCrossover(TRSIndividual,TRSIndividual,TRSIndividual,TRSIndividual).)

DoEvaluateWeightedFitness(TRSIndividual)

Calls the OnEvaluateWeightedFitness event and returns the result. If the event handler has not been defined, this method returns the regular fitness (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoEvaluateWeightedFitness(TRSIndividual).)

DoFairCrossover(TRSIndividual,TRSIndividual,TRSIndividual)

Represents method DoFairCrossover(TRSIndividual,TRSIndividual,TRSIndividual).

DoHoistMutation(TIndividual)

Performs a hoist mutation. Hoist mutation replaces the entire child program tree with a subtree from the child (the subtree becomes the root node). This has the effect of reducing the complexity of the child.

DoInitialize

Performs the actual initialization of the Population before evolution occurs.

The method returns number of duplicates fixed.

DoInitializeFull(TNode,Integer,Integer)

Initializes a genetic program tree to the full depth.

The Full method creates trees that all equal the     InitializationDepth (think full, bushy trees). There are not necessarily all the same size (number of nodes) as they depends on the arity of the instructions, but the same initial depth. The Full method creates trees by selecting only functions with arity greater than 0 until the initialization depth is reached; after which only terminals are selected.
 

DoInitializeGrow(TNode,Integer,Integer)

Initializes a genetic program tree by growing to the depth indicated.

The Grow method creates trees of a wider variety of shapes and sizes than the full method. In the Grow method, nodes for the trees are selected from the full set of primitives (functions, constants, and variables) until the initialization depth is reached. Since an early node could select a terminal (constant, variable, or function of arity = 0), that node's subtree stops growing before the initialization depth.
 

DoInvert(TRSIndividual)

Performs the actual inversion of the individual. The decision to invert the individual has already been made before calling this method. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoInvert(TRSIndividual).)

DoMutate(TRSIndividual)

Performs the actual mutation of the individual. The decision to mutat the individual has already been made before calling this method. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoMutate(TRSIndividual).)

DoPointMutation(TIndividual)

Overloaded. Performs point mutation. A random node is selected and the primitive
stored there is replaced with a different random primitive of the same arity taken from the primitive set
 

DoPointMutation(TIndividual,TNode)

Overloaded.  Performs point mutation on the tree. A random node is selected and the primitive stored there is replaced with a different random primitive of the same arity taken from the primitive set

Returns true if a point mutation occurred. Point mutation can occur more than once based on     PointMutationMethod.
 

DoReplacementMutation(TIndividual)

Performs a replacement mutation (replace a subtree of the individual with another subtree that starts with the same arity)

DoReproduce(TRSIndividual,TRSIndividual,TRSIndividual)

Performs the actual reproduction operation by combining the two parents to make the new Child. The Child must already exist but may be uninitialized. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoReproduce(TRSIndividual,TRSIndividual,TRSIndividual).)

DoReproduce(TRSIndividual,TRSIndividual,TRSIndividual,TRSIndividual)

Performs the actual reproduction operation by combining the two parents to make two new children. The children must already exist but may be uninitialized. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoReproduce(TRSIndividual,TRSIndividual,TRSIndividual,TRSIndividual).)

DoShrinkMutation(TIndividual)

Performs a shrink mutation. Shrink mutation replaces a subtree of the child with a terminal. This has the effect of reducing the complexity of the child.

DoStartEvolve

Performs initial steps for one evolution phase. Called by DoEvolve. (Overrides RSGeneticBase.TRSCustomGeneticComponent.DoStartEvolve.)

DoSubtreeMutation(TIndividual)

Performs a subtree mutation (replace a subtree of the individual with another subtree)

EvaluateFitness(TRSIndividual,Boolean)

Returns a fitness estimation of the passed in RSGeneticBase.TRSIndividual . It uses your     OnEvaluateFitness event handler to return the value.

Defining your fitness function is a highly important part of defining a genetic algorithm or genetic program. The fitness function returns a floating point value that specifies the correctness of the individual solution. The fitness function needs to be able to allow the genetic component to decide which solution is better than another. The genetic component will seek to either maximize the solution (e.g., keep evolving for individuals whose fitness are greater than other individuals in the population) or to minimize the solution (e.g., find the individuals whose fitness are less than other individuals). Note you can specify which direction to evolve towards with the     FitnessMethod property.

The overloaded     EvaluateFitness method evaluates the fitness for every individual of the Population (and calculates the     MaxFitness,     MinFitness, and     AvgFitness).
 

GetNode(TNode,Integer)

Overloaded. Creates and returns a node for the specified parent node. The node may be a function, constant, or variable node

GetNode(TNode,TNode,Integer)

Overloaded. Creates and returns a node for the specified parent node. The node is similar (of the same type and arity of the Similar node parameter)

GetOperationNode(TNode,Integer)

Creates and returns a function node for the specified parent node from the list of   Operations

GetSimilarInstruction(TInstruction)

Returns an instruction that is similar (of same type and arity)

GetTerminalNode(TNode,Integer)

Creates and returns a terminal (constants, variables, and functions of arity=0) node for the specified parent node from the list of   Terminals

InstructionNotify(TInstruction,Classes)

Called when an instruction is added or removed from the   Instructions

InstructionOperationUpdate(TInstruction)

Called when an instruction's Operation is changed (i.e., it changes from a function to a constant or a variable to a function, etc)

InstructionUpdate(TInstruction)

Called when an instruction is changed

LoadFromFile(string)

Loads the entire genetic component from the XML file specified by the Filename parameter, including the Genes (genetic algorithms) or Instructions (genetic programming) and the Population. Use the LoadFromFile and SaveToFile methods to stream in and out the genetic component in XML format. The format of the XML is defined in the GeneticAlgorithm.xsd and GeneticProgramming.xsd schema files. (Overrides RSGeneticBase.TRSCustomGeneticComponent.LoadFromFile(string).)

LoadFromStream(TStream)

Loads the entire genetic component from the XML stream specified by the stream parameter, including the Genes (genetic algorithms) or Instructions (genetic programming) and the Population. Use the LoadFromStream and SaveToStream methods to stream in and out the genetic component in XML format. The format of the XML is defined in the GeneticAlgorithm.xsd and GeneticProgramming.xsd schema files. (Overrides RSGeneticBase.TRSCustomGeneticComponent.LoadFromStream(TStream).)

LoadFromXML(IXMLGeneticProgram)

Overloaded. Load the entire genetic programming scenario from the XML

LoadFromXML(IXMLGPDomainType)

Overloaded. Load the genetic programming domain ( instructions, fittest individual, population) from the XML

LoadFromXML(IXMLGPInstructions)

Overloaded. Load the genetic programming instructions from the XML

MaxNodeArity

Returns the maximum number of children and node ( RSGenerics.GeneticProgramEngine.TRSGPNode<T> ) in the component can accept

Mutate(TIndividual,TGPMutationMethod)

Overloaded.  Mutates the DNA of the individual using the Mutation method. The mutation method controls how the genetic program tree is modified.

This method is called by the overloaded Mutate method when mutation is found to have occurred by its probability.
 

SaveToStream(TStream)

Saves the entire genetic component to the XML stream specified by the stream parameter, including the Genes (genetic algorithms) or Instructions (genetic programming) and the Population. Use the LoadFromFile and SaveToFile methods to stream in and out the genetic component in XML format. The format of the XML is defined in the GeneticAlgorithm.xsd and GeneticProgramming.xsd schema files. (Overrides RSGeneticBase.TRSCustomGeneticComponent.SaveToStream(TStream).)

SaveToXML(IXMLGeneticProgram)

Overloaded. Saves the genetic programming scenario to XML

SaveToXML(IXMLGPDomainType)

Overloaded. Saves the genetic programming domain ( instructions, fittest individual, population) to XML

SaveToXML(IXMLGPInstructions)

Overloaded. Saves the genetic programming instructions to XML

SearchSpaceSize(Cardinal)

Returns the size of size of the total set of trees from one level of nodes up to a maximum size identified by the variable level. This space contains every combination of the functions and terminals, and the arity of each function arity for every tree of depth 1 up to the stated maximum depth. This number is useful for getting an idea of the size of the search space and may encourage you to reduce the number of functions, terminals, or arity of functions.

SelectTournament(TObject,TRSPopulation,TRSIndividual)

Selected a Parent individual from the Population using the Tournament method.

Select "best" parents from a tournament field (size of tournament field is determined by the     TournamentField property), e.g., select the best parent from randomly selecting individuals TournamentField times and then choosing the "winner" of the tournament. Note: for speed purposes, this selection method does not ensure that the same individual cannot be picked twice
 

SumOfWeights(TGPMutationMethodWeights)

Calculates the sum of all the   MutationWeights