Class ProportionalSelectionStrategy<TGenome>

A proportional selection strategy.

This selection strategy selects parents for mutation and crossover based on their fitness proportion.

Type Parameters

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

Implements

SelectionStrategyInterface<TGenome>

Index

Constructors

Properties

crossoverParentsCount

Methods

selectForCrossover selectForMutation

Constructors

constructor

new ProportionalSelectionStrategy<TGenome extends BaseGenome>(
crossoverParentsCount: number,
): ProportionalSelectionStrategy<TGenome>
Constructor of the proportional selection strategy.
Type Parameters
- TGenome extends BaseGenome
Parameters
- crossoverParentsCount: number
  The number of parents to select for crossover.
Returns ProportionalSelectionStrategy<TGenome>
- Defined in src/strategies.ts:438

Properties

`Protected`crossoverParentsCount

crossoverParentsCount: number

Methods

selectForCrossover

selectForCrossover(
input: EvaluatedGenome<TGenome>[],
count: number,
): TGenome[][]
Selects parents for crossover using proportional selection.
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:449

selectForMutation

selectForMutation(input: EvaluatedGenome<TGenome>[], count: number): TGenome[]
Selects parents for mutation using proportional selection.
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:475