Class RandomSelectionStrategy<TGenome>

A random selection strategy.

This selection strategy randomly selects parents for mutation and crossover.

Type Parameters

TGenome extends BaseGenome
The type of genome objects in the population.

Hierarchy (View Summary)

RandomSelectionStrategy
- TruncationSelectionStrategy

Implements

SelectionStrategyInterface<TGenome>

Index

Constructors

Properties

crossoverParentsCount

Methods

selectForCrossover selectForMutation

Constructors

constructor

new RandomSelectionStrategy<TGenome extends BaseGenome>(
crossoverParentsCount: number,
): RandomSelectionStrategy<TGenome>
Constructor of the random selection strategy.
Type Parameters
- TGenome extends BaseGenome
Parameters
- crossoverParentsCount: number
  The number of parents to select for crossover.
Returns RandomSelectionStrategy<TGenome>
- Defined in src/strategies.ts:241

Properties

`Protected` `Readonly`crossoverParentsCount

crossoverParentsCount: number

Methods

selectForCrossover

selectForCrossover(
input: EvaluatedGenome<TGenome>[],
count: number,
): TGenome[][]
Selects parents for crossover.
Parameters
- input: EvaluatedGenome<TGenome>[]
  The population extended with fitness scores and phenome to select parents from.
- count: number
  The number of parents to select.
Returns TGenome[][]
An array of parents arrays.
Implementation of SelectionStrategyInterface.selectForCrossover
- Defined in src/strategies.ts:252

selectForMutation

selectForMutation(input: EvaluatedGenome<TGenome>[], count: number): TGenome[]
Selects parents for mutation.
Parameters
- input: EvaluatedGenome<TGenome>[]
  The population extended with fitness scores and phenome to select parents from.
- count: number
  The number of parents to select.
Returns TGenome[]
An array of parents.
Implementation of SelectionStrategyInterface.selectForMutation
- Defined in src/strategies.ts:274