GA startPoint integration

src/exampleAlgorithms/GaAlgorithm.java

@@ -454,7 +454,7 @@ public class GaAlgorithm implements Algorithm {
 			best.fitness = evaluatePosition(best.position, false);
 			println("Start with Fitness: " + best.fitness);
 			int problemSize = best.position.size();
-			List<Individual> population = initPopuluationRandom(problemSize);
+			List<Individual> population = initPopuluationRandom(problemSize, best);
 			println("Size To Test:" + population.size());
 			for(int generation = 0; generation< maxGenerations; generation++) {
 				println("Generation" + generation + " start with Fitness: " + best.fitness);
@@ -534,11 +534,13 @@ public class GaAlgorithm implements Algorithm {
 		/**
 		 * Initialize the Population with Individuals that have a random Position.
 		 */
-		private List<Individual> initPopuluationRandom(int problemSize){
+		private List<Individual> initPopuluationRandom(int problemSize, Individual startIndidual){
 			List<Individual> population =  new ArrayList<Individual>();
-			for(int i = 0; i < popsize; i++) {
+			for(int i = 0; i < popsize -1; i++) {
 				population.add(createRandomIndividualWithoutFitness(problemSize));
 			}
+			//Add Start Position
+			population.add(new Individual(startIndidual));
 			return population;
 		}