Class: Population

Methods

crossover() → {Population}

Performs crossover using the crossoverStrategy function defined in the population options

Source:

• genetic/population.js, line 96

Returns:

Reference to current object for chaining

Type

Population

evaluateFitness() → {Population}

Calculates the fitness of each individual where the fitness value is null

Source:

• genetic/population.js, line 82

Returns:

Reference to current object for chaining

Type

Population

filterNanFitness() → {Population}

Subsitutes an individuals fitness to positive or negative infinity if it isNaN

Source:

• genetic/population.js, line 203

Returns:

Reference to current object for chaining

Type

Population

getAverageFitness() → {number}

Calculate the average fitness of all individuals in the population (exluding infinite values)

Source:

• genetic/population.js, line 162

Returns:

Average fitness of the population

Type

number

getFittestIndividuals(numIndividualsopt) → {Array.<Individual>}

Returns a specified number of individuals with the best fitness rating in the population

Parameters:

Name	Type	Attributes	Default	Description
numIndividuals	number	<optional>	1	The number of individuals to return

Source:

• genetic/population.js, line 140

Returns:

An array of the fittest individuals in the population

Type

Array.<Individual>

initialise() → {Population}

Creates a randomly generated population of individuals

Source:

• genetic/population.js, line 70

Returns:

Reference to current object for chaining

Type

Population

mutate() → {Population}

Mutates the population based on the mutationRate property in each individuals options

Source:

• genetic/population.js, line 122

Returns:

Reference to current object for chaining

Type

Population

setDefaultOptionsIfNotProvided() → {Population}

Sets default values for options that have not been defined

Source:

• genetic/population.js, line 47

Returns:

Reference to current object for chaining

Type

Population

step() → {Population}

Applies a single iteration of crossover and mutation to the population

Source:

• genetic/population.js, line 177

Returns:

Reference to current object for chaining

Type

Population

train(numGenerations) → {Population}

Trains the population over a specified number of generations

Parameters:

Name	Type	Description
numGenerations	number	The number of generations to train the population over

Source:

• genetic/population.js, line 186

Returns:

Reference to current object for chaining

Type

Population

validateRequiredOptions() → {Population}

Throws an exception if a required option is missing

Source:

• genetic/population.js, line 30

Throws:

An exception is thrown if a required option is missing

Returns:

Reference to current object for chaining

Type

Population