func DTLZ2mGenerator(opt *goga.Optimiser, nf int) (ng int, fcn goga.MinProb_t) {
nx := nf + 10
ng = nx * 2
opt.FltMin = make([]float64, nx)
opt.FltMax = make([]float64, nx)
for i := 0; i < nx; i++ {
opt.FltMin[i], opt.FltMax[i] = -0.01, 1.01
}
fcn = func(f, g, h, x []float64, ξ []int, cpu int) {
var failed bool
for i := 0; i < nx; i++ {
g[0+i*2] = x[i]
g[1+i*2] = 1.0 - x[i]
if g[0+i*2] < 0 {
failed = true
}
if g[1+i*2] < 0 {
failed = true
}
}
if failed {
return
}
var c float64
for i := nf - 1; i < nx; i++ {
c += math.Pow((x[i] - 0.5), 2.0)
}
for i := 0; i < nf; i++ {
f[i] = (1.0 + c)
for j := 0; j < nf-1-i; j++ {
f[i] *= math.Cos(x[j] * PI / 2.0)
}
if i > 0 {
j := nf - 1 - i
f[i] *= math.Sin(x[j] * PI / 2.0)
}
}
}
opt.Multi_fcnErr = func(f []float64) float64 {
var sum float64
for i := 0; i < nf; i++ {
sum += f[i] * f[i]
}
return sum - 1.0
}
opt.RptFmin = make([]float64, nf)
opt.RptFmax = make([]float64, nf)
for i := 0; i < nf; i++ {
opt.RptFmax[i] = 1
}
return
}
