EvolutionOptimizationStrategy (GridGain 8.9.14)

```
public class EvolutionOptimizationStrategy
extends HyperParameterTuningStrategy
```
Represents the Genetic algorithms usage for finding the best set of hyper-parameters.

Constructors
Constructor and Description
`EvolutionOptimizationStrategy()`

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`int`	`getAmountOfEliteChromosomes()`
`int`	`getAmountOfGenerations()`
`double`	`getCrossingoverProbability()`
`CrossoverStrategy`	`getCrossoverStgy()`
`double`	`getMutationProbability()`
`String`	`getName()` Returns the name of strategy.
`long`	`getSeed()`
`SelectionStrategy`	`getSelectionStgy()`
`EvolutionOptimizationStrategy`	`withCrossingoverProbability(double crossingoverProbability)`
`EvolutionOptimizationStrategy`	`withCrossoverStgy(CrossoverStrategy crossoverStgy)`
`EvolutionOptimizationStrategy`	`withMutationProbability(double mutationProbability)`
`EvolutionOptimizationStrategy`	`withSeed(long seed)` Set up the seed number.
`EvolutionOptimizationStrategy`	`withSelectionStgy(SelectionStrategy selectionStgy)`

Constructor Detail
- EvolutionOptimizationStrategy
```
public EvolutionOptimizationStrategy()
```

public int getAmountOfEliteChromosomes()

public double getCrossingoverProbability()

public double getMutationProbability()

public CrossoverStrategy getCrossoverStgy()

public SelectionStrategy getSelectionStgy()

public EvolutionOptimizationStrategy withSeed(long seed)

Set up the seed number.

public EvolutionOptimizationStrategy withCrossingoverProbability(double crossingoverProbability)

public EvolutionOptimizationStrategy withMutationProbability(double mutationProbability)

public EvolutionOptimizationStrategy withCrossoverStgy(CrossoverStrategy crossoverStgy)

public EvolutionOptimizationStrategy withSelectionStgy(SelectionStrategy selectionStgy)

Class EvolutionOptimizationStrategy