Types
These types define the fundamental building blocks of the genetic algorithm, including abstract types for key evolutionary operations (initialization, selection, crossover, and mutation) and concrete structures for representing chromosomes and populations. Custom operators must inherit from these abstract types to ensure compatibility and proper integration within the algorithm.
GeneticAlgorithms.Chromosome — TypeChromosome(genes::Vector{T})A chromosome consists of a vector of genes of type T.
GeneticAlgorithms.CrossoverMethod — TypeCrossoverMethodAbstract type for crossover methods.
GeneticAlgorithms.MutationMethod — TypeMutationMethodAbstract type for mutation methods.
GeneticAlgorithms.Population — TypePopulation(chromosomes::Vector{T})A population consists of a vector of chromosomes of type T.
GeneticAlgorithms.PopulationInitializationMethod — TypePopulationInitializationMethodAbstract type for population initialization methods.
GeneticAlgorithms.SelectionMethod — TypeSelectionMethodAbstract type for selection methods.