Ejemplo n.º 1
0
// SetFloat returns the float corresponding to gene 'i'
//  igene -- is the index of gene/float in [0, Nfltgenes]
func (o *Individual) SetFloat(igene int, x float64) {
	if o.Nbases > 1 {
		values := make([]float64, o.Nbases)
		rnd.Float64s(values, 0, 1)
		sum := la.VecAccum(values)
		for j := 0; j < o.Nbases; j++ {
			o.Floats[igene*o.Nbases+j] = x * values[j] / sum
		}
		return
	}
	o.Floats[igene] = x
}
Ejemplo n.º 2
0
// SimpleChromo splits 'genes' into 'nbases' unequal parts
//  Input:
//    genes  -- a slice whose size equals to the number of genes
//    nbases -- number of bases used to split 'genes'
//  Output:
//    chromo -- the chromosome
//
//  Example:
//
//    genes = [0, 1, 2, ... nbases-1,  0, 1, 2, ... nbases-1]
//             \___________________/   \___________________/
//                    gene # 0               gene # 1
//
func SimpleChromo(genes []float64, nbases int) (chromo []float64) {
	ngenes := len(genes)
	chromo = make([]float64, ngenes*nbases)
	values := make([]float64, nbases)
	var sumv float64
	for i, g := range genes {
		rnd.Float64s(values, 0, 1)
		sumv = la.VecAccum(values)
		for j := 0; j < nbases; j++ {
			chromo[i*nbases+j] = g * values[j] / sumv
		}
	}
	return
}
Ejemplo n.º 3
0
func Test_sus01(tst *testing.T) {

	//verbose()
	chk.PrintTitle("sus01. stochastic-universal-sampling")

	f := []float64{2.0, 1.8, 1.6, 1.4, 1.2, 1.0, 0.8, 0.6, 0.4, 0.2, 0.0}
	n := len(f)
	p := make([]float64, n)
	sum := la.VecAccum(f)
	for i := 0; i < n; i++ {
		p[i] = f[i] / sum
	}
	cs := make([]float64, len(p))
	utl.CumSum(cs, p)
	selinds := make([]int, 6)
	SUSselect(selinds, cs, 0.1)
	io.Pforan("selinds = %v\n", selinds)
	chk.Ints(tst, "selinds", selinds, []int{0, 1, 2, 3, 5, 7})
}
Ejemplo n.º 4
0
func Test_rws01(tst *testing.T) {

	//verbose()
	chk.PrintTitle("rws01. roulette whell selection")

	f := []float64{2.0, 1.8, 1.6, 1.4, 1.2, 1.0, 0.8, 0.6, 0.4, 0.2, 0.0}
	n := len(f)
	p := make([]float64, n)
	sum := la.VecAccum(f)
	for i := 0; i < n; i++ {
		p[i] = f[i] / sum
	}
	cs := make([]float64, len(p))
	utl.CumSum(cs, p)
	selinds := make([]int, 6)
	RouletteSelect(selinds, cs, []float64{0.81, 0.32, 0.96, 0.01, 0.65, 0.42})
	io.Pforan("selinds = %v\n", selinds)
	chk.Ints(tst, "selinds", selinds, []int{5, 1, 8, 0, 4, 2})
}
Ejemplo n.º 5
0
// Balance computes load balance
func (o System) Balance(P []float64) float64 {
	return math.Abs(la.VecAccum(P) - o.Pdemand - o.Ploss(P))
}