| Encog.Solve.Genetic.Crossover |
| Encog.Solve.Genetic.Genes |
| Encog.Solve.Genetic.Genome |
| Encog.Solve.Genetic.Innovation |
| Encog.Solve.Genetic.Mutate |
| Encog.Solve.Genetic.Population |
| Encog.Solve.Genetic.Species |
| Name | Description |
|---|---|
| GeneticAlgorithm | Implements a genetic algorithm. This is an abstract class. Other classes are provided by Encog use this base class to train neural networks or provide an answer to the traveling salesman problem. The genetic algorithm is also capable of using a thread pool to speed execution. |
| GeneticError | Caused by errors detected by the Encog genetic code. |
| MateWorker | Worker that is used to mate the genomes in a multithreaded way. |
