Golang Solver.GetBestUsingHillClimbing方法代碼示例

func main() {
	resources := []resource{
		{name: "Bark", value: 3000, weight: 0.3, volume: .025},
		{name: "Herb", value: 1800, weight: 0.2, volume: .015},
		{name: "Root", value: 2500, weight: 2.0, volume: .002},
	}

	const maxWeight = 25.0
	const maxVolume = .25

	geneSet := "0123456789ABCDEFGH"

	calc := func(candidate string) int {
		decoded := decodeGenes(candidate, resources, geneSet)
		return getFitness(decoded, maxWeight, maxVolume)
	}
	start := time.Now()

	disp := func(candidate string) {
		decoded := decodeGenes(candidate, resources, geneSet)
		fitness := getFitness(decoded, maxWeight, maxVolume)
		display(decoded, fitness, time.Since(start))
	}

	var solver = new(genetic.Solver)
	solver.MaxSecondsToRunWithoutImprovement = .1
	solver.MaxRoundsWithoutImprovement = 2

	var best = solver.GetBestUsingHillClimbing(calc, disp, geneSet, 10, 2, math.MaxInt32)

	fmt.Println("\nFinal:")
	disp(best)
}

func main() {
	startX := fieldWidth / 2
	startY := fieldHeight / 2

	calc := func(candidate string) int {
		field, program := evaluate(candidate, startX, startY)
		fitness := getFitness(field.numberOfSquaresMowed, program.numberOfInstructions())
		return fitness
	}
	start := time.Now()

	disp := func(candidate string) {
		field, program := evaluate(candidate, startX, startY)
		fitness := getFitness(field.numberOfSquaresMowed, program.numberOfInstructions())
		display(field, program, fitness, startX, startY, time.Since(start))
	}

	var solver = new(genetic.Solver)
	solver.MaxSecondsToRunWithoutImprovement = 1
	solver.MaxRoundsWithoutImprovement = 10

	var best = solver.GetBestUsingHillClimbing(calc, disp, geneSet, maxMowerActions, 1, maxFitness)

	fmt.Print("\nFinal: ")
	disp(best)
}

func main() {
	flag.Parse()
	if flag.NArg() != 1 {
		fmt.Println("Usage: go run standard.go RESOURCEFILEPATH")
		return
	}
	var resourceFileName = flag.Arg(0)
	if !File.Exists(resourceFileName) {
		fmt.Println("file " + resourceFileName + " does not exist.")
		return
	}
	fmt.Println("using resource file: " + resourceFileName)

	resources, maxWeight, solution := loadResources(resourceFileName)

	optimalFitness := 0
	for resource, count := range solution {
		optimalFitness += resource.value * count
	}

	calc := func(candidate string) int {
		decoded := decodeGenes(candidate, resources)
		return getFitness(decoded, maxWeight, optimalFitness)
	}

	start := time.Now()

	disp := func(candidate string) {
		decoded := decodeGenes(candidate, resources)
		fitness := getFitness(decoded, maxWeight, optimalFitness)
		display(decoded, fitness, time.Since(start), true)
	}

	var solver = new(genetic.Solver)
	solver.MaxSecondsToRunWithoutImprovement = 5
	solver.MaxRoundsWithoutImprovement = 3

	var best = solver.GetBestUsingHillClimbing(calc, disp, hexLookup, 10, numberOfGenesPerChromosome, optimalFitness)

	fmt.Print("\nFinal: ")
	decoded := decodeGenes(best, resources)
	fitness := getFitness(decoded, maxWeight, optimalFitness)
	display(decoded, fitness, time.Since(start), false)
	if fitness == optimalFitness {
		fmt.Println("-- that's the optimal solution!")
	} else {
		percentOptimal := float32(100) * float32(fitness) / float32(optimalFitness)
		fmt.Printf("-- that's %f%% optimal\n", percentOptimal)
	}
}

func main() {
	wanted := []string{"AL", "AK", "AS", "AZ", "AR"}
	unwanted := []string{"AA"}

	geneSet := getUniqueCharacters(wanted) + regexSpecials

	calc := func(candidate string) int {
		return calculate(wanted, unwanted, geneSet, candidate)
	}
	start := time.Now()

	disp := func(candidate string) {
		fmt.Println(candidate,
			"\t",
			calc(candidate),
			"\t",
			time.Since(start))
	}

	var solver = new(genetic.Solver)
	solver.MaxSecondsToRunWithoutImprovement = .5
	solver.MaxRoundsWithoutImprovement = 3

	var best = solver.GetBestUsingHillClimbing(calc, disp, geneSet, 10, 1, math.MaxInt32)

	matches, misses := getMatchResults(wanted, unwanted, geneSet, best)
	if matches == len(wanted) && misses == 0 {
		fmt.Println("\nsolved with: " + best)
	} else {
		fmt.Println("\nfailed to find a solution")
		fmt.Println("consider increasing the following:")
		fmt.Println("\tsolver.MaxSecondsToRunWithoutImprovement")
		fmt.Println("\tsolver.MaxRoundsWithoutImprovement")
	}

	fmt.Print("Total time: ")
	fmt.Println(time.Since(start))
}

func main() {
	clearImages()
	startX := fieldWidth / 2
	startY := fieldHeight / 2

	flowerPoints := createFlowerPoints()

	calc := func(candidate string) int {
		field := NewField(fieldWidth, fieldHeight, flowerPoints)
		bee := NewBee(startX, startY)
		program := evaluate(candidate, bee, field, startX, startY)
		fitness := getFitness(field.numberOfFlowersFound, program.numberOfInstructions())
		return fitness
	}
	start := time.Now()

	disp := func(candidate string) {
		field := NewField(fieldWidth, fieldHeight, flowerPoints)
		bee := NewBee(startX, startY)
		program := evaluate(candidate, bee, field, startX, startY)
		fitness := getFitness(field.numberOfFlowersFound, program.numberOfInstructions())
		display(bee, flowerPoints, program, fitness, startX, startY, time.Since(start))
	}

	var solver = new(genetic.Solver)
	solver.MaxSecondsToRunWithoutImprovement = 3
	solver.MaxRoundsWithoutImprovement = 3
	solver.PrintDiagnosticInfo = true
	solver.NumberOfConcurrentEvolvers = 1 // 3
	//	solver.MaxProcs = 12

	var best = solver.GetBestUsingHillClimbing(calc, disp, geneSet, maxBeeActions, 4, maxFitness)

	fmt.Print("\nFinal: ")
	disp(best)
}