diff --git a/fuzz/genetic_operators/crossover.go b/fuzz/genetic_operators/crossover.go
new file mode 100644
index 0000000..6a1d5eb
--- /dev/null
+++ b/fuzz/genetic_operators/crossover.go
@@ -0,0 +1,54 @@
+package genetic_operators
+
+// metodos a serem testados podem ter mais de um parametro de entrada
+// uma seed representa uma lista de paramentros de entrada
+func Crossover(seed1, seed2 []string) ([]string, []string) {
+	var crossoverSeed1 []string
+	var crossoverSeed2 []string
+
+	if len(seed1) == len(seed2) {
+		for i := range seed1 {
+			smallest := smallestSize(seed1[i], seed2[i])
+			// analisar a necessidade desta verificacao
+			if smallest == 0 {
+				crossoverSeed1 = seed1
+				crossoverSeed2 = seed2
+				//	funcionando como esperado
+			} else if smallest == 1 {
+				var tempSeed1 string
+				var tempSeed2 string
+				for j := 0; j < smallest; j++ {
+					tempSeed1 = seed1[i][j:j+1] + seed2[i][j:j+1]
+					tempSeed2 = seed2[i][j:j+1] + seed1[i][j:j+1]
+				}
+				crossoverSeed1 = append(crossoverSeed1, tempSeed1)
+				crossoverSeed2 = append(crossoverSeed2, tempSeed2)
+			} else {
+				var tempSeed1 string
+				var tempSeed2 string
+				for j := 0; j < smallest; j++ {
+
+					if j%2 == 0 {
+						tempSeed1 += seed2[i][j : j+1]
+						tempSeed2 += seed1[i][j : j+1]
+					} else {
+						tempSeed1 += seed1[i][j : j+1]
+						tempSeed2 += seed2[i][j : j+1]
+					}
+				}
+				crossoverSeed1 = append(crossoverSeed1, tempSeed1)
+				crossoverSeed2 = append(crossoverSeed2, tempSeed2)
+			}
+		}
+	}
+
+	return crossoverSeed1, crossoverSeed2
+}
+
+func smallestSize(seed1, seed2 string) int {
+	if len(seed1) >= len(seed2) {
+		return len(seed2)
+	}
+
+	return len(seed1)
+}
diff --git a/fuzz/genetic_operators/mutation.go b/fuzz/genetic_operators/mutation.go
new file mode 100644
index 0000000..212107b
--- /dev/null
+++ b/fuzz/genetic_operators/mutation.go
@@ -0,0 +1,14 @@
+package genetic_operators
+
+import "github.com/dogefuzz/dogefuzz/pkg/common"
+
+const MUTATION_CHANCE = 0.1
+
+func Mutation(mutationFunction []func()) {
+	rnd := common.RandomFloat64()
+
+	if rnd < MUTATION_CHANCE {
+		mutationFunction := common.RandomChoice(mutationFunction)
+		mutationFunction()
+	}
+}
diff --git a/fuzz/genetic_operators/selection.go b/fuzz/genetic_operators/selection.go
new file mode 100644
index 0000000..b88a247
--- /dev/null
+++ b/fuzz/genetic_operators/selection.go
@@ -0,0 +1,40 @@
+package genetic_operators
+
+import (
+	"math"
+
+	"github.com/dogefuzz/dogefuzz/pkg/common"
+)
+
+// consts to define chances to select some seeds
+const FIRST_LIMIT = 0.5
+const SECOND_LIMIT = 0.8
+
+// consts to define what range interval will used to prioritize some seeds
+const FIRST_RANGE = 0.4
+const SECOND_RANGE = 0.7
+
+func Selection(seedsList [][]string) []string {
+	rnd := common.RandomFloat64()
+	lengthList := len(seedsList)
+	var seedsSlice [][]string
+
+	if rnd < FIRST_LIMIT {
+		seedsSlice = seedsList[0:maxIndex(lengthList, FIRST_RANGE)]
+	} else if rnd < SECOND_LIMIT {
+		seedsSlice = seedsList[minIndex(lengthList, FIRST_RANGE):maxIndex(lengthList, SECOND_RANGE)]
+	} else {
+		// [minIndex:len(seedsList)]
+		seedsSlice = seedsList[minIndex(lengthList, SECOND_RANGE):]
+	}
+
+	return common.RandomChoice(seedsSlice)
+}
+
+func maxIndex(length int, factor float64) int {
+	return int(math.Ceil(float64(length) * factor))
+}
+
+func minIndex(length int, factor float64) int {
+	return int(math.Floor(float64(length) * factor))
+}