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

BaseObject
GABaseObject-demo.GeneticExampleClass
GADemo.NumOnes	An evaluation operator that computes the number of ones in a segment whose data can be converted to binary using the bin() function
GeneticAlgorithm.Core.BaseChromosomeSegment	This class defines the minimal expression of a chromosome segment
GeneticAlgorithm.Core.BasePeriodicOperator	A class that serves as a base for all periodic operators
GeneticAlgorithm.Core.Crossover	Crossover two individuals from population.matingPool with probability population.crossoverProbability
GeneticAlgorithm.Core.GABaseObject	The base object provides the functions repr and str
GeneticAlgorithm.Core.GeneticOperator	GeneticOperator is the base class that should be used to implement selection, crossover and mutation
GeneticAlgorithm.Core.Genotype	The base Genotype class from which all chromosomes must derived
GeneticAlgorithm.Core.Individual	This class is a container intended to store all information relevant to an individual
GeneticAlgorithm.Core.Mutate	Mutate an individual
GeneticAlgorithm.Core.Population	This class is a container, intended to store references to individuals and all their
GeneticAlgorithm.Core.Scheduler	A class that encapsulates a Population and a list of GeneticOperator
GeneticAlgorithm.EvaluationOperators.BaseEvaluationOperator	This class provides an easy way of developing evaluation operators that only evaluate recently replaced individuals
GeneticAlgorithm.GenotypeLibrary.BinaryChromosomeSegment	This class implements an integer variable encoded by a fixed number of bits
GeneticAlgorithm.GraphLibrary.BestPathPlotLogger	This class extends the PlottingOperators::PlotBestLogger to display the best tour found so far
GeneticAlgorithm.GraphLibrary.Graph	This class
GeneticAlgorithm.GraphLibrary.Ordonez	A GeneticAlgorithm::Core::GeneticOperator derivate that decodes a binary genotype as a permutation of the numbers 0:n, where n is the number of segments in the genotype
GeneticAlgorithm.GraphLibrary.PathLengthFitness	A GeneticAlgorithm::Core::GeneticOperator derivate that uses
GeneticAlgorithm.LoggingOperators.BestLogger	This class stores the best individual of the population, if it is better than the last individual found
GeneticAlgorithm.LoggingOperators.LogGenerations	Log the full population of a GA
GeneticAlgorithm.PlottingOperators.PlotBestLogger	A BestLogger specialization that plots the historic progression of the best criterion with each tick
GeneticAlgorithm.SelectionOperators.KTournament	A selection operator that implements the k-tournament algorithm
GeneticAlgorithm.SelectionOperators.SelectLethals	Select the individuals to replace based on the population.maximize flag and the population.genSize property
GeneticAlgorithm.SelectionOperators.SUSSelection	This operator performs stochastic uniform selection over the population, updating the field matingPool
KapsackSearch.SearchManager
KapsackSearch.SearchNode
KnapsackDemo.Knapsack	An evaluation operator that computes the relaxed version of the objective function used to solve a knapsack instance
object