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genome_fixed_bitstring.go
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genome_fixed_bitstring.go
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/*
Copyright 2009 Thomas Jager <[email protected]> All rights reserved.
Use of this source code is governed by a BSD-style
license that can be found in the LICENSE file.
Fixed length Bitstring genome for problems like subset sum
*/
package ga
import (
"fmt"
"math/rand"
)
type GAFixedBitstringGenome struct {
Gene []bool
score float64
hasscore bool
sfunc func(ga *GAFixedBitstringGenome) float64
}
func NewFixedBitstringGenome(i []bool, sfunc func(ga *GAFixedBitstringGenome) float64) *GAFixedBitstringGenome {
g := new(GAFixedBitstringGenome)
g.Gene = i
g.sfunc = sfunc
g.Reset()
return g
}
//Simple 2 point crossover
func (a *GAFixedBitstringGenome) Crossover(bi GAGenome, p1, p2 int) (GAGenome, GAGenome) {
ca := a.Copy().(*GAFixedBitstringGenome)
b := bi.(*GAFixedBitstringGenome)
cb := b.Copy().(*GAFixedBitstringGenome)
copy(ca.Gene[p1:p2+1], b.Gene[p1:p2+1])
copy(cb.Gene[p1:p2+1], a.Gene[p1:p2+1])
ca.Reset()
cb.Reset()
return ca, cb
}
func (a *GAFixedBitstringGenome) Splice(bi GAGenome, from, to, length int) {
b := bi.(*GAFixedBitstringGenome)
copy(a.Gene[to:length+to], b.Gene[from:length+from])
a.Reset()
}
func (g *GAFixedBitstringGenome) Valid() bool { return true }
func (g *GAFixedBitstringGenome) Switch(x, y int) {
g.Gene[x], g.Gene[y] = g.Gene[y], g.Gene[x]
g.Reset()
}
func (g *GAFixedBitstringGenome) Randomize() {
l := len(g.Gene)
for i := 0; i < l; i++ {
x := rand.Intn(2)
if x == 1 {
g.Gene[i] = true
} else {
g.Gene[i] = false
}
}
g.Reset()
}
func (g *GAFixedBitstringGenome) Copy() GAGenome {
n := new(GAFixedBitstringGenome)
n.Gene = make([]bool, len(g.Gene))
copy(n.Gene, g.Gene)
n.sfunc = g.sfunc
n.score = g.score
n.hasscore = g.hasscore
return n
}
func (g *GAFixedBitstringGenome) Len() int { return len(g.Gene) }
func (g *GAFixedBitstringGenome) Score() float64 {
if !g.hasscore {
g.score = g.sfunc(g)
g.hasscore = true
}
return g.score
}
func (g *GAFixedBitstringGenome) Reset() { g.hasscore = false }
func (g *GAFixedBitstringGenome) String() string {
return fmt.Sprintf("%v", g.Gene)
}