README
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A Simple Genetic Algorithm
This package uses a genetic algorithm to solve various simple problems.
License
Currently licensed under the MIT license.
Building
Requires Go 1.14 or later.
Clone and run
go build github.com/jonhanks/ga/samples/calc1
Documentation
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Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type Fitness ¶
type Fitness func(Individual) float32
type FitnessGenerator ¶
type FitnessGenerator interface {
Generate() Fitness
}
type Generator ¶
type Generator interface {
Generate() Individual
Evolve(a, b Individual, r *rand.Rand) Individual
}
Generators create new Individuals.
type Individual ¶
type Individual interface {
Clone() Individual
Mutate(r *rand.Rand) Individual
}
An Individual is the basic genome/sample/... that is being evolved
type Population ¶
type Population struct {
// contains filtered or unexported fields
}
The Population is a collection of Individuals that is evolved to meet the fitness function
func NewPopulation ¶
func NewPopulation(generator Generator, size int, f Fitness) *Population
Create a new population
func NewPopulationFG ¶
func NewPopulationFG(generator Generator, size int, fg FitnessGenerator) *Population
func (*Population) Evolve ¶
func (p *Population) Evolve() *Population
func (*Population) FitnessAt ¶
func (p *Population) FitnessAt(i int) float32
func (*Population) Individual ¶
func (p *Population) Individual(i int) Individual
func (*Population) Length ¶
func (p *Population) Length() int
func (*Population) Test ¶
func (p *Population) Test()
Test the population against the fitness function
Source Files
Directories
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