Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

NBinary
CBinary	Binary class - implements genotype as a vector of binary coded real values with variable interval and precision
CBinaryCrsHalfUniform	Binary genotype: half uniform crossover operator
CBinaryCrsMasked	Binary genotype: masked crossover operator. Described on http://www.tomaszgwiazda.com/maskedX.htm. Evolve only one child instead of two as described on-line
CBinaryCrsNonGeometric	Binary genotype: non geometric crossover operator
CBinaryCrsOnePoint	Binary genotype: one point crossover operator
CBinaryCrsRandomRespectful	Binary genotype: random respectful crossover operator. Described on http://www.tomaszgwiazda.com/RandomRX.htm. Evolve only one child instead of two as described on-line
CBinaryCrsReducedSurrogate	Binary genotype: reduced surrogate crossover operator
CBinaryCrsSegmented	Binary genotype: segmented crossover operator
CBinaryCrsShuffle	Binary genotype: shuffle crossover operator
CBinaryCrsTwoPoint	Binary genotype: two point crossover operator
CBinaryCrsUniform	Binary genotype: uniform crossover operator
CBinaryMutMix	Binary genotype: mixing mutation operator
CBinaryMutSimple	Binary genotype: simple (bit-flip) mutation operator
NBitString
CBitString	BitString class - implements genotype as a series of bits
CBitStringCrsOnePoint	BitString genotype: one point crossover operator
CBitStringCrsUniform	BitString genotype uniform crossover operator
CBitStringMutMix	BitString genotype mixing mutation operator
CBitStringMutSimple	BitString genotype simple (one bit) mutation operator
NCartesian
CAddT
CCartesian
CCartesianCrxHalfUniform	Cartesian genotype: half uniform crossover operator
CCartesianCrxOnePoint	Cartesian genotype: one point crossover operator
CCartesianCrxUniform	Cartesian genotype: uniform crossover operator
CCartesianMutNonSilent
CCartesianMutOnePoint
CCartesianMutOnePointActive
CCartesianMutSilent	Cartesian genotype: one point mutation operator
CCosT
CDivT
CExpT
CFunction
CFunctionSet
CMaxT
CMinT
CMulT
CNlogT
CNode
CPosT
CSinT
CSqrtT
CStepT
CSubT
NComm
CCommunicator	Communicator class for interprocess communication
Nconvergence
CReadStats
NECF
CParam	ECF parameter structure, as stored in the Registry
NFloatingPoint
CFloatingPoint	FloatingPoint class - implements genotype as a vector of floating point values
CFloatingPointCrsArithmetic	FloatingPoint genotype: offspring is defined as a linear combination of two vectors
CFloatingPointCrsArithmeticSimple	FloatingPoint genotype: take recombination point k. Child 1 is parent1 until k, rest is arithmetic average of parents
CFloatingPointCrsArithmeticSingle	FloatingPoint genotype: take random allele k. That point is arithmetic average of parents, other points are from parents
CFloatingPointCrsAverage	FloatingPoint genotype: child is average value of parent genes
CFloatingPointCrsBga	FloatingPoint genotype: BGA crossover (http://bib.irb.hr/datoteka/640222.CEC_2013.pdf, http://sci2s.ugr.es/publications/ficheros/IJIS-2003-18-3-309-338.PDF)
CFloatingPointCrsBlx	FloatingPoint genotype: value on allele i is random value taken from min-max interval from parents plus/minus difference times rand
CFloatingPointCrsBlxAlpha	FloatingPoint genotype: BLX alpha crossover (http://bib.irb.hr/datoteka/640222.CEC_2013.pdf)
CFloatingPointCrsBlxAlphaBeta	FloatingPoint genotype: BLX alpha-beta crossover (http://bib.irb.hr/datoteka/640222.CEC_2013.pdf)
CFloatingPointCrsDiscrete	FloatingPoint genotype: allele value for each gene is either from parent1 or from parent2 with equal probability
CFloatingPointCrsFlat	FloatingPoint genotype: value on allele i is random value taken from min-max interval from parents
CFloatingPointCrsHeuristic	FloatingPoint genotype: value on allele i smaller gene value + rand value * (greater - smaller value)
CFloatingPointCrsLocal	FloatingPoint genotype: local crossover (http://bib.irb.hr/datoteka/640222.CEC_2013.pdf)
CFloatingPointCrsOnePoint	FloatingPoint genotype: one point crossover operator with permissible split points only between dimensions
CFloatingPointCrsRandom	FloatingPoint genotype: random crossover, for testing purposes
CFloatingPointCrsSbx	FloatingPoint genotype: SBX crossover (http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.33.7291&rep=rep1&type=pdf, http://www.iitk.ac.in/kangal/papers/k2011017.pdf)
CFloatingPointMutSimple	FloatingPoint genotype: simple mutation where a single vector element is mutated. New value is random value from the given domain
NGEP
CGEPChromosome	GEPChromosome class - implements genotype as a Gene Expression Programming chromosome
CGEPChromosomeCrsGene	GEPChromosome genotype: gene crx operator. Selects a gene number and swaps it between both parents
CGEPChromosomeCrsOnePoint	GEPChromosome genotype: one point crx operator. Selects a crossing point from which to exchange genetic information
CGEPChromosomeCrsTwoPoint	GEPChromosome genotype: two point crx operator. Selects two crossing points between which to exchange genetic information
CGEPChromosomeMutGauss	GEPChromosome genotype: standard normal distribution noise mutation operator. Applicable only on ephemereal random constants (ERC) of type 'double'
CGEPChromosomeMutOp	GEPChromosome genotype: node replacement mutation operator. Tries to replace the selected primitive with a different one, conforming to the restrictions of the domain where it is located
NIntGenotype
CIntGenotype	IntGenotype class - implements genotype as a vector of int values
CIntGenotypeCrxAverage	IntGenotype genotype: average crossover operator
CIntGenotypeCrxOp	IntGenotype genotype: uniform crossover operator
CIntGenotypeCrxTwoPoint	IntGenotype genotype: two-point crossover operator
CIntGenotypeMutOp	IntGenotype genotype: single-point mutation operator
Nmake_stats
CReadStats
NPermutation
CIndexBackedPermutation
CPermutation	Permutation class - implements genotype as a vector of indices 0..(n-1) (permutation of indices)
CPermutationCrsCOSA	Permutation genotype: COSA crossover operator (adapted from HeuristicLab)
CPermutationCrsCyclic	Permutation genotype: Cyclic crossover operator (see e.g. http://www.rubicite.com/Tutorials/GeneticAlgorithms/CrossoverOperators/CycleCrossoverOperator.aspx)
CPermutationCrsCyclic2	Permutation genotype: Cyclic version 2 crossover operator (adapted from HeuristicLab)
CPermutationCrsDPX	Permutation genotype: DPX crossover operator (see e.g. itc.ktu.lt/itc342/Misev342.pdf)
CPermutationCrsOBX	Permutation genotype: Order based crossover operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationCrsOPX	Permutation genotype: OPX crossover operator (see e.g. itc.ktu.lt/itc342/Misev342.pdf)
CPermutationCrsOX	Permutation genotype: OX crossover operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationCrsOX2	Permutation genotype: Order crossover operator variant where algorithm starts from the beginning when copying the values from second parent (adapted from HeuristicLab)
CPermutationCrsPBX	Permutation genotype: PBX crossover operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationCrsPMX	Permutation genotype: PMX crossover operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationCrsSPX	Permutation genotype: SPX crossover operator (see e.g. itc.ktu.lt/itc342/Misev342.pdf)
CPermutationCrsULX	Permutation genotype: Uniform like crossover operator (see e.g. itc.ktu.lt/itc342/Misev342.pdf)
CPermutationCrsUPMX	Permutation genotype: UMPX crossover operator (see e.g. itc.ktu.lt/itc342/Misev342.pdf)
CPermutationMutIns	Permutation genotype: insert mutation operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationMutInv	Permutation genotype: inversion mutation operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
CPermutationMutToggle	Permutation genotype: toggle mutation operator (see e.g. http://dx.doi.org/10.1016/j.amc.2007.10.013)
NTree
NPrimitives
CAddT	Add function primitive (Tree genotype)
CAvg	Avg function primitive (Tree genotype)
CCos	Cos function primitive (Tree genotype)
CDivT	Div function primitive (Tree genotype)
CERC	Ephemereal random constant (ERC) node class (Tree genotype)
CERCD	Ephemereal random constant (ERC) node of type double (Tree genotype)
CLog
CMaxT	Max function primitive (Tree genotype)
CMinT	Min function primitive (Tree genotype)
CMulT	Mul function primitive (Tree genotype)
CNegT	Neg function primitive (Tree genotype)
CPosT	Pos function primitive (Tree genotype)
CPrimitive	Base primitive class (Tree genotype)
CSin	Sin function primitive (Tree genotype)
CSqrt
CSubT	Sub function primitive (Tree genotype)
CTerminalT	Terminal tree node class (Tree genotype)
CAPGenotype	Analytical Programing genotype class - implements genotype as a vector of floating point values that translates to Tree genotype
Cmy_type
CMyFunc
CMyTerminal
CNode	Node base class (Tree genotype)
CPrimitiveSet	Primitive set class: collects all Tree Primitives
CPrimitiveSetAP	Primitive set class for APGenotype: collects all Tree Primitives
CTree	Tree class - implements genotype as a tree
CTreeCrxContextPreserved	Tree genotype: context presevation crx operator. Tries to make crossover at the 'same' point in both trees (with the same path from tree root node). Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/53GPCrossover.html#11_3
CTreeCrxOnePoint	Tree genotype: one point crx operator. Tries to select a crossing point in parent tree's common region. Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/53GPCrossover.html#11_3
CTreeCrxSimple	Tree genotype: simple tree crossover operator (with default 90% bias toward functional node) Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/24RecombinationandMutation.html#7_4
CTreeCrxSizeFair	Tree genotype: size fair crx operator. Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/53GPCrossover.html#11_3
CTreeCrxUniform	Tree genotype: uniform crx operator. Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/53GPCrossover.html#11_3
CTreeMutGauss	Tree genotype: standard normal distribution noise mutation operator. Applicable only on ephemereal random constants (ERC) of type 'double'
CTreeMutHoist	Tree genotype: mutation operator that replaces original tree with a randomly chosen subtree from the original tree
CTreeMutNodeComplement	Tree genotype: complement node mutation operator. For the operator to succeed, the chosen primitive must have a defined complement
CTreeMutNodeReplace	Tree genotype: node replacement mutation operator. Tries to replace the selected primitive with a different one with the same number of arguments
CTreeMutPermutation	Tree genotype: permutation mutation operator
CTreeMutShrink	Tree genotype: mutation operator that shrinks randomly chosen subtree
CTreeMutSubtree	Tree genotype: subtree size-fair mutation operator. This is a 'standard' GP subtree mutation
CAlgAEliGpea	Asynchronous elimination global parallel algorithm
CAlgAEliGpea2	Asynchronous elimination global parallel algorithm (outdated version)
CAlgGEP	Generational algorithm with roulette wheel selection operator and unique operators and chromosome representation
CAlgNSGA2
CAlgorithm	Algorithm base class
CAlgSGenGpea	Synchronous generational global parallel algorithm
CAntEvalOp	Artificial ant evaluation class (and environment simulator)
CAPSymbRegEvalOp	Symbolic regression evaluation operator (using AP genotype)
CArtificialBeeColony	Artificial Bee Colony algorithm (see e.g. http://www.scholarpedia.org/article/Artificial_bee_colony_algorithm)
CCGPSymbRegEvalOp	CGP symbolic regression evaluation operator
CClassifier	Classifier class that holds all parameters and pointer to individual to which the parameters belong
CClassifierParams	Classifier data structure in XCS algorithm
CClonalg	Clonal Selection Algorithm (see e.g. http://en.wikipedia.org/wiki/Clonal_Selection_Algorithm)
CCrossover	Crossover class - handles crossover of individuals (as opposed to CrossoverOp class that crosses genotypes)
CCrossoverOp	CrossoverOp base class
CCuckooSearch	Cuckoo search (CS) optimization algorithm (see http://en.wikipedia.org/wiki/Cuckoo_search)
CDeme	Deme class - inherits a vector of Individual objects
CDifferentialEvolution	Differential evolution (DE) optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Differential_evolution)
CElimination	Elimination (generation gap) algorithm with roulette wheel elimination selection operator
CEnvironment	Environment for the XCS algorithm
CEvaluateOp	Evaluation base class
CEvolutionContext	Evolutionary context class
CEvolutionStrategy	(mu/rho +/, lambda) - Evolution Strategy (ES) algorithm
CFitness	Fitness base class
CFitnessMax	Fitness for maximization problems
CFitnessMin	Fitness for minimization problems
CFunctionMaxEvalOp
CFunctionMinEvalOp	Function minimization evaluation class
CGeneticAnnealing	Genetic annealing algorithm (see e.g. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.7606, http://drdobbs.com/architecture-and-design/184409333?pgno=10)
CGenHookeJeeves	New algorithm, in development
CGenotype	Genotype base class
CGEPSymbRegEvalOp	GEP symbolic regression evaluation operator
CHallOfFame	Records a set of best-so-far individuals
CIfFoodAhead	GP function, checks if the food is ahead
CIndividual	Individual class - inherits a vector of Genotype objects
CLogger	Logging class - handles screen output and file logging
CLog
CMigration	Migration class - handles individual migration between demes
CMOFitness
CMoveAhead	GP terminal, moves the ant one square ahead
CMutation	Mutation class - handles mutation of individuals (as opposed to MutationOp class that mutates genotypes)
CMutationOp	MutationOp base class
CMyAlg
CMyEvalOp
COneMaxEvalOp	OneMax problem evaluation class
COperator	Abstract operator class
COptIA	Optimization Immune Algorithm (opt-IA, see e.g. http://www.artificial-immune-systems.org/algorithms.shtml)
CParallelAlgorithm	Parallel algorithm base class
CParticleSwarmOptimization	Particle swarm optimization algorithm (see e.g. http://en.wikipedia.org/wiki/Particle_swarm_optimization)
CPopulation	Population class - inherits a vector of Deme objects
CProg2	GP function, executes 2 subtrees in sequence
CProg3	GP function, executes 3 subtrees in sequence
CRandomizer	Abstract Randomizer class
CRandomSearch	Random search algorithm
CRealValueGenotype	RealValueGenotype class - abstract genotype class for genotypes that represent a vector of real values (Binary, FloatingPoint)
CRegistry	Repository for all the system parameters
CRouletteWheel	Generational algorithm with roulette wheel selection operator
CSelBestOp	Best individual selection operator
CSelectionOperator	Selection operator base class
CSelFitnessProportionalOp	Fitness proportional (and inverse proportional) individual selection operator
CSelRandomOp	Random individual selection operator
CSelWorstOp	Worst individual selection operator
CSimpleRandomizer	A simple randomizer that uses in-built random number generator
CStatCalc	Statistics calculation class
CState	State class - backbone of the framework
CSteadyStateTournament	Steady state algorithm with tournament elimination operator
CSymbRegEvalOp	Symbolic regression evaluation operator
CTermFitnessValOp	Termination operator: terminates on a given fitness value
CTermMaxEvalOp	Termination operator: terminates on a given number of fitness evaluations
CTermMaxGenOp	Termination operator: terminates on a given number of generations
CTermMaxTimeOp	Termination operator: terminates on a given elapsed time
CTermStagnationOp	Termination operator: terminates when no improvement occurs in best individual for a given number of generations
CTreeCrxSimple	Tree genotype: simple tree crossover operator. Reference: http://dces.essex.ac.uk/staff/rpoli/gp-field-guide/24RecombinationandMutation.html#7_4
CTSPEvalOp	TSP evaluation operator
CTurnLeft	GP terminal, turns the ant left
CTurnRight	GP terminal, turns the ant right
CXCS
CXCSParams	Parameters for the XCS algorithm