ga_type.go

package goga

import (
	"sync"
	"time"
)

type ga struct {
	sync.Mutex

	// generator generate random Models
	generator func() Model

	// weightFunc is weight of each model to be selected for the Mutation for the next generation.
	weightFunc WeightFunc

	// population calculate the next generation population based on the step, and best cost value.
	population PopulationFunc

	config struct {

		// initialPopulation is the population of the first generation.
		initialPopulation int

		//maxNumOfSteps maximum number of steps
		// -1 for infinity run
		maxNumOfSteps int64

		// zero for infinity run.
		//
		// ga stops when  error < targetCost
		targetCost float64

		// the interval between two step
		// useful for infinity mood.
		stepsInterval time.Duration

		// selection is the property for distribution to the next generation.
		//
		// top + mutation + random = 1
		selection struct {
			top      float64
			mutation float64
			random   float64
		}

		// numberOfThreads the number of thread in Cost calculation step.
		numberOfThreads int
	}

	curetGeneration modelSortedList
	step            int64

	result        chan Model
	runtimeError  chan error
	runtimeResult chan RunTimeResult
}