func Run(conf Config) error {
rand.Seed(time.Now().UTC().UnixNano())
fmt.Println("Loading proteins...")
id, start, end, err := proteindb.GetProteins(conf.ProteinDB)
if err != nil {
panic(err)
}
fmt.Println("Initializing probabilities...")
r, _ := rules.Create(conf.CA.InitStates, conf.CA.TransStates, conf.CA.HasJoker, conf.CA.R)
probs := NewProbs(r.Prm)
// fmt.Println(probs)
var pop Population
pop.rule = make([]*rules.Rule, conf.EDA.Population)
pop.fitness = make([]float64, conf.EDA.Population)
cellAuto := make([]*ca.CellAuto1D, conf.EDA.Population)
var wg1 sync.WaitGroup
// tmp := 0
for i := 0; i < conf.EDA.Population; i++ {
wg1.Add(1)
go func(pop *Population, i int) {
defer wg1.Done()
pop.rule[i] = probs.GenRule()
// ca, _ := ca.Create1D(id, start, end, pop.rule[i], conf.CA.Steps, conf.CA.Consensus)
cellAuto[i], _ = ca.Create1D(id, start, end, pop.rule[i], conf.CA.Steps, conf.CA.Consensus)
pop.fitness[i] = Fitness(cellAuto[i])
}(&pop, i) //preciso definir o que por aqui
if i%48 == 0 && i > 0 {
fmt.Println("Waiting", i)
wg1.Wait()
}
}
wg1.Wait()
fmt.Println("População inicial = ", conf.EDA.Population, "OK")
// tmp := make([]float64, len(pop.fitness))
// for j := range tmp {
// tmp[j] = pop.fitness[j] * 1.1
// }
var wg2 sync.WaitGroup
for i := 0; i < conf.EDA.Generations; i++ {
fmt.Println("Generation", i+1)
fmt.Println("Adjusting probabilities...")
probs.AdjustProbs(pop, conf.EDA.Selection, conf.EDA.Tournament)
fmt.Println("OK")
if probs.Converged() {
fmt.Println("Probabilities converged\nDONE")
break
}
if (i+1)%conf.EDA.SaveSteps == 0 {
ioutil.WriteFile(fmt.Sprintf("%s_%d", conf.EDA.OutputProbs, i+1), []byte(probs.String()), 0644)
}
for j := 0; j < len(pop.rule); j++ {
wg2.Add(1)
go func(pop *Population, j int) {
defer wg2.Done()
pop.rule[j] = probs.GenRule()
// ca, _ := ca.Create1D(id, start, end, pop.rule[j], conf.CA.Steps, conf.CA.Consensus)
cellAuto[j].SetRule(pop.rule[j])
pop.fitness[j] = Fitness(cellAuto[j])
}(&pop, j)
if j%24 == 0 && j > 0 {
fmt.Println("Waiting", j)
wg2.Wait()
}
}
fmt.Printf("Wait - Setting new rule")
wg2.Wait()
fmt.Println("OK")
//Este é o melhor lugar para criar o grafico? pop
plot.Histogram(pop.fitness, nil, i)
}
err = ioutil.WriteFile(conf.EDA.OutputProbs, []byte(probs.String()), 0644)
if err != nil {
fmt.Println("Erro gravar as probabilidades")
fmt.Println(probs)
}
return nil
}
func Run(conf Config) error {
rand.Seed(time.Now().UTC().UnixNano())
fmt.Println("Loading proteins...")
id, start, end, err := proteindb.GetProteins(conf.ProteinDB)
if err != nil {
panic(err)
}
var pop Population
pop.rule = make([]*rules.Rule, conf.GA.Population)
pop.fitness = make([]float64, conf.GA.Population)
var wg1 sync.WaitGroup
// tmp := 0
for i := 0; i < conf.GA.Population; i++ {
wg1.Add(1)
go func(pop *Population, i int) {
defer wg1.Done()
pop.rule[i], _ = rules.Create(conf.CA.InitStates, conf.CA.TransStates, conf.CA.HasJoker, conf.CA.R)
ca, _ := ca.Create1D(id, start, end, pop.rule[i], conf.CA.Steps, conf.CA.Consensus)
pop.fitness[i] = Fitness(ca)
}(&pop, i) //preciso definir o que por aqui
if i%100 == 0 && i > 0 {
fmt.Println("Waiting", i)
wg1.Wait()
}
}
wg1.Wait()
var selection Selection
selection.rule = make([]*rules.Rule, conf.GA.Selection)
selection.fitness = make([]float64, conf.GA.Selection)
// var tournament Tournament
// tournament.rule = make([]*rules.Rule, conf.GA.Tournament)
// tournament.fitness = make([]float64, conf.GA.Tournament)
var wg2 sync.WaitGroup
for i := 0; i < conf.GA.Generations; i++ {
fmt.Println("Gen", i)
sort.Sort(sort.Reverse(pop))
for j := 0; j < conf.GA.Selection; j++ {
winner := len(pop.rule)
for k := 0; k < conf.GA.Tournament; k++ {
x := rand.Intn(len(pop.rule))
if x < winner {
winner = x
}
}
//sort.Sort(sort.Reverse(tournament))
selection.rule[j] = pop.rule[winner]
selection.fitness[j] = pop.fitness[winner]
}
fmt.Println("Selection OK")
plot.Histogram(pop.fitness, selection.fitness, i)
fmt.Println("Plot", i, "ok")
for p := 0; p < len(pop.rule); p++ {
wg2.Add(1)
go func(pop *Population, p int) {
defer wg2.Done()
s := rand.Intn(len(selection.rule))
Mutate(selection.rule[s], conf.GA.Mutation)
pop.rule[p] = selection.rule[s]
ca, _ := ca.Create1D(id, start, end, pop.rule[p], conf.CA.Steps, conf.CA.Consensus)
pop.fitness[p] = Fitness(ca)
}(&pop, p)
if p%10 == 0 && p > 0 {
fmt.Println("Waiting", p)
wg2.Wait()
}
}
fmt.Println("New pop OK")
}
return nil
}
