Update README.md

Author: scottbyrns

README.md

@@ -3,7 +3,45 @@ A genetic algorithm written in swift, limited to Foundation libraries in the hop
 
 ## Ussage
 
-See main.swift for a sample implementation.
+```swift
+
+class TestFitnessCalculator : FitnessCalculator {
+
+    let solution = [1,5,2,1,6,3,1,7,8,2,5,7,3,8,1,2,5,7,3,8,9,2,4,6]
+
+    func calculateFitness(candidate: Candidate) -> Double {
+        var sum = -24.0
+        var rawGenome = candidate.getGenome().getGenome()
+        for var index = 0; index < candidate.getGenome().length; index += 1 {
+            let genomeValueAtIndex = rawGenome[index]
+
+            if Double(solution[index]) == (Double(Int(genomeValueAtIndex * 1000))/100) {
+                sum += 1
+            }
+
+        }
+
+        return sum
+    }
+
+}
+
+var population = DefaultPopulation(model: DefaultPopulationModel(), candidateBreeder: DefaultCandidateBreeder(), fitnessCalculator: TestFitnessCalculator())
+
+var itteration = 0
+
+population.evolveUntilFit({ (fittest: Candidate) -> () in
+
+        itteration += 1
+        print(itteration)
+        print(fittest.getFitness())
+
+    }) { (fittest) -> () in
+        print(fittest)
+}
+
+
+```
 
 ### Notes
-This is a port of an old Java library I wrote and has some relics of java programming patterns in it.
+This is a port of an old Java library I wrote and has some relics of java programming patterns in it.