func Test_mtdeb01(tst *testing.T) {
//verbose()
chk.PrintTitle("mtdeb01. Deb's mutation")
var ops OpsData
ops.SetDefault()
ops.Pm = 1.0
ops.Xrange = [][]float64{{-3, 3}, {-4, 4}}
ops.EnfRange = true
rnd.Init(0)
A := []float64{-1, 1}
io.Pforan("before: A = %v\n", A)
FltMutationDeb(A, 10, &ops)
io.Pforan("after: A = %v\n", A)
ha0 := rnd.Histogram{Stations: utl.LinSpace(-3, 3, 11)}
nsamples := 1000
aa := make([]float64, len(A))
a0s := make([]float64, nsamples)
for _, t := range []int{0, 50, 100} {
for i := 0; i < nsamples; i++ {
copy(aa, A)
FltMutationDeb(aa, t, &ops)
a0s[i] = aa[0]
}
ha0.Count(a0s, true)
io.Pf("\ntime = %d\n", t)
io.Pf("%s", rnd.TextHist(ha0.GenLabels("%.1f"), ha0.Counts, 60))
}
}
func Test_cxdeb01(tst *testing.T) {
//verbose()
chk.PrintTitle("cxdeb01. Deb's crossover")
var ops OpsData
ops.SetDefault()
ops.Pc = 1.0
ops.Xrange = [][]float64{{-3, 3}, {-4, 4}}
ops.EnfRange = true
rnd.Init(0)
A := []float64{-1, 1}
B := []float64{1, 2}
a := make([]float64, len(A))
b := make([]float64, len(A))
FltCrossoverDeb(a, b, A, B, 0, &ops)
io.Pforan("A = %v\n", A)
io.Pforan("B = %v\n", B)
io.Pfcyan("a = %.6f\n", a)
io.Pfcyan("b = %.6f\n", b)
nsamples := 1000
a0s, a1s := make([]float64, nsamples), make([]float64, nsamples)
b0s, b1s := make([]float64, nsamples), make([]float64, nsamples)
for i := 0; i < nsamples; i++ {
FltCrossoverDeb(a, b, B, A, 0, &ops)
a0s[i], a1s[i] = a[0], a[1]
b0s[i], b1s[i] = b[0], b[1]
}
ha0 := rnd.Histogram{Stations: []float64{-4, -3.5, -3, -2.5, -2, -1.5, -1, -0.5, 0, 0.5, 1}}
hb0 := rnd.Histogram{Stations: []float64{0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 5, 5.5, 6}}
ha1 := rnd.Histogram{Stations: utl.LinSpace(-4, 4, 11)}
hb1 := rnd.Histogram{Stations: utl.LinSpace(-4, 4, 11)}
ha0.Count(a0s, true)
hb0.Count(b0s, true)
ha1.Count(a1s, true)
hb1.Count(b1s, true)
io.Pforan("\na0s\n")
io.Pf("%s", rnd.TextHist(ha0.GenLabels("%.1f"), ha0.Counts, 60))
io.Pforan("b0s\n")
io.Pf("%s", rnd.TextHist(hb0.GenLabels("%.1f"), hb0.Counts, 60))
io.Pforan("\na1s\n")
io.Pf("%s", rnd.TextHist(ha1.GenLabels("%.1f"), ha1.Counts, 60))
io.Pforan("b1s\n")
io.Pf("%s", rnd.TextHist(hb1.GenLabels("%.1f"), hb1.Counts, 60))
}
func Test_flt03(tst *testing.T) {
//verbose()
chk.PrintTitle("flt03. sin⁶(5 π x) multimodal")
// configuration
C := NewConfParams()
C.Nova = 1
C.Noor = 2
C.Nisl = 4
C.Ninds = 24
C.GAtype = "crowd"
C.DiffEvol = true
C.CrowdSize = 3
C.ParetoPhi = 0.01
C.CompProb = true
C.Tf = 100
C.Dtmig = 60
C.RangeFlt = [][]float64{{0, 0.9999999999999}}
C.PopFltGen = PopFltGen
C.CalcDerived()
rnd.Init(C.Seed)
// post-processing function
values := utl.Deep3alloc(C.Tf/10, C.Nisl, C.Ninds)
C.PostProc = func(idIsland, time int, pop Population) {
if time%10 == 0 {
k := time / 10
for i, ind := range pop {
values[k][idIsland][i] = ind.GetFloat(0)
}
}
}
// functions
yfcn := func(x float64) float64 { return math.Pow(math.Sin(5.0*math.Pi*x), 6.0) }
fcn := func(f, g, h []float64, x []float64) {
f[0] = -yfcn(x[0])
}
// simple problem
sim := NewSimpleFltProb(fcn, 1, 0, 0, C)
sim.Run(chk.Verbose)
// write histograms and plot
if chk.Verbose {
// write histograms
var buf bytes.Buffer
hist := rnd.Histogram{Stations: utl.LinSpace(0, 1, 13)}
for k := 0; k < C.Tf/10; k++ {
for i := 0; i < C.Nisl; i++ {
clear := false
if i == 0 {
clear = true
}
hist.Count(values[k][i], clear)
}
io.Ff(&buf, "\ntime=%d\n%v", k*10, rnd.TextHist(hist.GenLabels("%4.2f"), hist.Counts, 60))
}
io.WriteFileVD("/tmp/goga", "test_flt03_hist.txt", &buf)
// plot
plt.SetForEps(0.8, 300)
xmin := sim.Evo.Islands[0].Pop[0].GetFloat(0)
xmax := xmin
for k := 0; k < C.Nisl; k++ {
for _, ind := range sim.Evo.Islands[k].Pop {
x := ind.GetFloat(0)
y := yfcn(x)
xmin = utl.Min(xmin, x)
xmax = utl.Max(xmax, x)
plt.PlotOne(x, y, "'r.',clip_on=0,zorder=20")
}
}
np := 401
X := utl.LinSpace(0, 1, np)
Y := make([]float64, np)
for i := 0; i < np; i++ {
Y[i] = yfcn(X[i])
}
plt.Plot(X, Y, "'b-',clip_on=0,zorder=10")
plt.Gll("$x$", "$y$", "")
plt.SaveD("/tmp/goga", "test_flt03_func.eps")
}
}