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Documentation

Index

• func KeySet_Int_SlInt(m map[int][]int) []int
• type DemeGroup
  • func (dg *DemeGroup) AverageFitness() float64
  • func (dg *DemeGroup) BestMember() (Individual, int)
  • func (dg *DemeGroup) NextGeneration() bool
• type Individual
• type PMethod
• type Population
  • func (p *Population) AverageFitness() float64
  • func (p *Population) BestMember() (Individual, int)
  • func (p_p *Population) GenerateFitness()
  • func (p_p *Population) GetElites() []Individual
  • func (p *Population) NextGeneration() bool
  • func (p_p *Population) Print()
  • func (p *Population) Weights(power float64) ([]float64, []float64)
• type SMethod

Functions

func KeySet_Int_SlInt

func KeySet_Int_SlInt(m map[int][]int) []int

Types

type DemeGroup

type DemeGroup struct {
	Demes []Population
	// Migration Chance is the average number
	// of individuals that should swap demes
	// per generation. .5 would have a swap
	// every other generation, on average,
	// 5 would have 5 swaps per generation,
	// etc.
	// Individuals cannot leave a deme without
	// another replacing it, in order to maintain
	// each deme's size does not change.
	// (This assertion is subject to change with
	// further analysis)
	MigrationChance float64
}

func (*DemeGroup) AverageFitness

func (dg *DemeGroup) AverageFitness() float64

func (*DemeGroup) BestMember

func (dg *DemeGroup) BestMember() (Individual, int)

func (*DemeGroup) NextGeneration

func (dg *DemeGroup) NextGeneration() bool

type Individual

type Individual interface {
	Fitness(input, expected [][]float64) int
	Mutate()
	Crossover(other Individual) Individual
	CanCrossover(other Individual) bool
	Print()
}

type PMethod

type PMethod interface {
	Pair(p *Population, populated int) [][]int
}

type Population

type Population struct {
	Members      []Individual
	Size         int
	Selection    SMethod
	Pairing      PMethod
	FitnessTests int
	TestInputs   [][]float64
	TestExpected [][]float64
	Elites       int
	Fitnesses    []int
	LowFitness   int
	MaxFitness   int
	GoalFitness  int
}

func (*Population) AverageFitness

func (p *Population) AverageFitness() float64

func (*Population) BestMember

func (p *Population) BestMember() (Individual, int)

func (*Population) GenerateFitness

func (p_p *Population) GenerateFitness()

func (*Population) GetElites

func (p_p *Population) GetElites() []Individual

func (*Population) NextGeneration

func (p *Population) NextGeneration() bool

NextGeneration selects, mutates, and crosses the population over, returning whether the population reached the goal fitness or not.

func (*Population) Print

func (p_p *Population) Print()

func (*Population) Weights

func (p *Population) Weights(power float64) ([]float64, []float64)

type SMethod

type SMethod interface {
	Select(p *Population) []Individual
	GetParentProportion() int
}