X-Git-Url: https://git.dlugolecki.net.pl/?p=genetic.git;a=blobdiff_plain;f=include%2Fmutation%2Fmutation.h;h=6c2b853b0855e72f89c75c6922e84a6835d96f7e;hp=a35b312b60d637359e7e5d028c79be6bdd5a730e;hb=1e175fb658e55f4cc8b894fff288be22998e78af;hpb=2a8fc81203107eb3495a50fb2666803fda3e0517

diff --git a/include/mutation/mutation.h b/include/mutation/mutation.h
index a35b312..6c2b853 100644
--- a/include/mutation/mutation.h
+++ b/include/mutation/mutation.h
@@ -1,13 +1,11 @@
 #ifndef __MUTATION_MUTATION_H
 #define __MUTATION_MUTATION_H
 
-#include <iostream>
+#include <vector>
 
 #include "chromosome.h"
 #include "generation.h"
 
-using namespace std;
-
 namespace genetic {
 //     namespace mutation {
         /**
@@ -19,7 +17,7 @@ namespace genetic {
             /**
              * Type of probability of mutation chance
              */
-            typedef double MutationChanceType;
+            typedef float MutationChanceType;
 
             /**
              * Type representing Chromosome Gene
@@ -37,7 +35,7 @@ namespace genetic {
              *
              * @param chance Chance on which Mutation can occur.
              */
-            Mutation(MutationChanceType chance) :
+            Mutation(const MutationChanceType& chance) :
                 chance(chance) {
             }
 
@@ -48,10 +46,10 @@ namespace genetic {
              * @param _generation Generation for which the mutation should be applied
              * @return new Generation of Chromosome's that passed the mutation
              */
-            Generation<_Chromosome> mutate(Generation<_Chromosome> _generation) {
+            Generation<_Chromosome> mutate(Generation<_Chromosome>& _generation) {
                 const unsigned int generationSize = _generation.size();
                 const unsigned int chromosomeSize = _generation[0].size();
-                vector<_Chromosome> newGeneration;
+                std::vector<_Chromosome> newGeneration;
 
                 for (unsigned int i = 0; i < generationSize; i++) {
                     MutationChanceType random = (rand() % 10000) / 10000.0;