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GEPChromosome Class

The chromosome represents a Gene Expression, which is used for different tasks of Genetic Expression Programming (GEP).
Inheritance Hierarchy
SystemObject
  Accord.GeneticChromosomeBase
    Accord.GeneticGEPChromosome

Namespace:  Accord.Genetic
Assembly:  Accord.Genetic (in Accord.Genetic.dll) Version: 3.8.0
Syntax
public class GEPChromosome : ChromosomeBase
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The GEPChromosome type exposes the following members.

Constructors
  NameDescription
Protected methodGEPChromosome(GEPChromosome)
Initializes a new instance of the GEPChromosome class.
Public methodGEPChromosome(IGPGene, Int32)
Initializes a new instance of the GEPChromosome class.
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Properties
  NameDescription
Public propertyFitness
Chromosome's fitness value.
(Inherited from ChromosomeBase.)
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Methods
  NameDescription
Public methodClone
Clone the chromosome.
(Overrides ChromosomeBaseClone.)
Public methodCompareTo
Compare two chromosomes.
(Inherited from ChromosomeBase.)
Public methodCreateNew
Create new random chromosome with same parameters (factory method).
(Overrides ChromosomeBaseCreateNew.)
Public methodCrossover
Crossover operator.
(Overrides ChromosomeBaseCrossover(IChromosome).)
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Public methodEvaluate
Evaluate chromosome with specified fitness function.
(Inherited from ChromosomeBase.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGenerate
Generate random chromosome value.
(Overrides ChromosomeBaseGenerate.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Protected methodGetTree
Get tree representation of the chromosome.
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodMutate
Mutation operator.
(Overrides ChromosomeBaseMutate.)
Protected methodMutateGene
Usual gene mutation.
Public methodRecombinationOnePoint
One-point recombination (crossover).
Public methodRecombinationTwoPoint
Two point recombination (crossover).
Protected methodStatic memberRecombine
Swap parts of two chromosomes.
Public methodToString
Get string representation of the chromosome by providing its expression in reverse polish notation (postfix notation).
(Overrides ObjectToString.)
Public methodToStringNative
Get string representation of the chromosome.
Protected methodTransposeIS
Transposition of IS elements (insertion sequence).
Protected methodTransposeRoot
Root transposition.
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Fields
  NameDescription
Protected fieldfitness
Chromosome's fitness value.
(Inherited from ChromosomeBase.)
Protected fieldgenes
Array of chromosome's genes.
Protected fieldheadLength
Length of GEP chromosome's head.
Protected fieldlength
GEP chromosome's length.
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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Remarks

This type of chromosome represents combination of ideas taken from Genetic Algorithms (GA), where chromosomes are linear structures of fixed length, and Genetic Programming (GP), where chromosomes are expression trees. The GEP chromosome is also a fixed length linear structure, but with some additional features which make it possible to generate valid expression tree from any GEP chromosome.

The theory of Gene Expression Programming is well described in the next paper: Ferreira, C., 2001. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems. Complex Systems, Vol. 13, issue 2: 87-129. A copy of the paper may be obtained on the gene expression programming web site.

See Also