func main() {
numThreads := 4
runtime.GOMAXPROCS(numThreads)
genAlgo := ga.NewGeneticAlgorithm()
genAlgo.Simulator = &stringMaterSimulator{}
genAlgo.BitsetCreate = &myBitsetCreate{}
genAlgo.EliteConsumer = &myEliteConsumer{}
genAlgo.Mater = ga.NewMater(
[]ga.MaterFunctionProbability{
{P: 1.0, F: ga.TwoPointCrossover},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.UniformCrossover, UseElite: true},
},
)
genAlgo.Selector = ga.NewSelector(
[]ga.SelectorFunctionProbability{
{P: 1.0, F: ga.Roulette},
},
)
genAlgo.Init(populationSize, numThreads)
startTime := time.Now()
genAlgo.Simulate()
fmt.Println(time.Since(startTime))
}
func main() {
runtime.GOMAXPROCS(runtime.NumCPU())
// Get the input image
inputImage = getImageFromFile(os.Args[1])
rectBitsetFormat = ga.CreateBitsetParse()
rectBitsetFormat.SetFormat([]int{
bitsPerCoordinateNumber, bitsPerCoordinateNumber, bitsPerCoordinateNumber, bitsPerCoordinateNumber,
bitsPerColourChannel, bitsPerColourChannel, bitsPerColourChannel, bitsPerColourChannel,
})
circleBitsetFormat = ga.CreateBitsetParse()
circleBitsetFormat.SetFormat([]int{
bitsPerCoordinateNumber, bitsPerCoordinateNumber, bitsPerCoordinateNumber,
bitsPerColourChannel, bitsPerColourChannel, bitsPerColourChannel, bitsPerColourChannel,
})
genAlgo := ga.NewGeneticAlgorithm()
genAlgo.Simulator = &imageMatcherSimulator{}
genAlgo.BitsetCreate = &myBitsetCreate{}
genAlgo.EliteConsumer = &myEliteConsumer{}
genAlgo.Mater = ga.NewMater(
[]ga.MaterFunctionProbability{
{P: 1.0, F: ga.UniformCrossover, UseElite: true},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
{P: 1.0, F: ga.Mutate},
},
)
genAlgo.Selector = ga.NewSelector(
[]ga.SelectorFunctionProbability{
{P: 1.0, F: ga.Roulette},
},
)
genAlgo.Init(populationSize, parallelSimulations)
startTime := time.Now()
genAlgo.Simulate()
fmt.Println(time.Since(startTime))
}