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fitness_test.go
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package ga
import (
"testing"
)
func TestGenome_DefaultFitness(t *testing.T) {
t.Parallel()
var genA = NewGeneticAlgorithm()
genA.SetSeed(3)
genA.SetOutputFunc(func(a ...interface{}) { t.Log(a...) })
genome := Genome{Bitstring{"1", "1", "1", "1"}}
t.Log("Genome:", genome)
t.Log("Setting fitness func to default...")
genA.SetFitnessFunc(DefaultFitnessFunc)
expectedFitness := 4
gotFitness := genA.Fitness(genome)
if gotFitness != expectedFitness {
t.Error("String is not correct fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
} else {
t.Log("String is correct fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
}
}
func TestGenome_CustomFitness(t *testing.T) {
t.Parallel()
var genA = NewGeneticAlgorithm()
genA.SetSeed(3)
genA.SetOutputFunc(func(a ...interface{}) { t.Log(a...) })
genome := Genome{Bitstring{"0", "0", "0", "1"}}
t.Log(genome)
t.Log("Setting fitness func to custom...")
genA.SetFitnessFunc(func(gene Genome) int {
count := 0
for _, i := range gene.Sequence {
if i == "0" {
count++
}
}
return count
})
expectedFitness := 3
gotFitness := genA.Fitness(genome)
if gotFitness != expectedFitness {
t.Error("String is not correct fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
} else {
t.Log("String is correct fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
}
}
func TestAverageFitness(t *testing.T) {
t.Parallel()
var genA = NewGeneticAlgorithm()
genA.SetSeed(3)
genA.SetOutputFunc(func(a ...interface{}) { t.Log(a...) })
t.Log("Setting fitness func to default...")
genA.SetFitnessFunc(DefaultFitnessFunc)
candidatePool := Population{
{Bitstring{"1", "1", "1", "1"}},
{Bitstring{"1", "1", "1", "1"}},
{Bitstring{"0", "0", "0", "0"}},
{Bitstring{"0", "0", "0", "0"}},
}
t.Log("Created candidatePool:", candidatePool)
expectedFitness := 2
gotFitness := genA.AverageFitness(candidatePool)
if gotFitness != expectedFitness {
t.Error("Incorrect average fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
} else {
t.Log("Correct average fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
}
}
func TestMaxFitness(t *testing.T) {
t.Parallel()
var genA = NewGeneticAlgorithm()
genA.SetSeed(3)
genA.SetOutputFunc(func(a ...interface{}) { t.Log(a...) })
t.Log("Setting fitness func to default...")
genA.SetFitnessFunc(DefaultFitnessFunc)
candidatePool := Population{
{Bitstring{"1", "1", "1", "1", "1", "1", "1", "1"}},
{Bitstring{"1", "1", "1", "1", "1", "1", "1", "1"}},
{Bitstring{"0", "0", "0", "0", "0", "0", "0", "0"}},
{Bitstring{"0", "0", "0", "0", "0", "0", "0", "0"}},
}
t.Log("Created candidatePool:", candidatePool)
expectedFitness := 8
gotFitness := genA.MaxFitness(candidatePool)
if gotFitness != expectedFitness {
t.Error("Incorrect max fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
} else {
t.Log("Correct max fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
}
t.Log("Setting fitness func to custom...")
genA.SetFitnessFunc(func(gene Genome) int {
count := 0
for _, i := range gene.Sequence {
if i == "0" {
count++
}
}
return count
})
candidatePool = Population{
{Bitstring{"1", "1", "1", "1", "1", "1", "1", "1"}},
{Bitstring{"0", "0", "0", "0", "1", "1", "1", "1"}},
{Bitstring{"0", "0", "0", "0", "0", "0", "0", "0"}},
{Bitstring{"0", "0", "0", "0", "0", "0", "0", "0"}},
}
t.Log("Created candidatePool:", candidatePool)
expectedFitness = 8
gotFitness = genA.MaxFitness(candidatePool)
if gotFitness != expectedFitness {
t.Error("Incorrect max fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
} else {
t.Log("Correct max fitness.", "Expected:", expectedFitness, "Got:", gotFitness)
}
}