Package | Description |
---|---|
smile.feature |
Feature generation, normalization and selection.
|
smile.gap |
Genetic algorithm and programming.
|
Class and Description |
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BitString
The standard bit string representation of the solution domain.
|
BitString.Crossover
The types of crossover operation.
|
GeneticAlgorithm.Selection
The way to select chromosomes from the population as parents to crossover.
|
Class and Description |
---|
BitString
The standard bit string representation of the solution domain.
|
BitString.Crossover
The types of crossover operation.
|
Chromosome
Artificial chromosomes in genetic algorithm/programming encoding candidate
solutions to an optimization problem.
|
FitnessMeasure
A measure to evaluate the fitness of chromosomes.
|
GeneticAlgorithm.Selection
The way to select chromosomes from the population as parents to crossover.
|
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