Phenotype<G, R extends FitnessResult> class abstract

A phenotype (also called chromosome or genotype) is one particular solution to the problem (equation). The solution is encoded in genes.

After being evaluated by an Evaluator, the phenotypes result is filled with the output of the fitness function. If niching is at play, the result is then modified into resultWithFitnessSharingApplied.

Phenotype can have genes of any type G, although most often, G will be either bool (binary genes) or num (continuous genes).

Subclasses must define mutateGene, which returns a gene mutated by a given strength.

Implemented types

• Comparable<Phenotype<G, R>>

Constructors

Phenotype()

Properties

genes ↔ List<G>

getter/setter pair

genesAsString → String

no setter

hashCode → int

The hash code for this object.

no setter, inherited

result ↔ R?

This is populated later by the algorithm.

getter/setter pair

resultWithFitnessSharingApplied ↔ num?

This is populated later by the algorithm if the evaluator applies fitness sharing.

getter/setter pair

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

compareTo(Phenotype<G, R> other) → int

Compares this object to another object.

override

computeHammingDistance(covariant Phenotype<G, R> other) → num

Returns the degree to which this chromosome has dissimilar genes with the other. If chromosomes are identical, returns 0.0. If all genes are different, returns 1.0.

mutateGene(G gene, num strength) → G

Takes gene and returns a new one, mutated by strength.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

override

Operators

operator ==(Object other) → bool

The equality operator.

inherited