From 0a899a7e09d9da3a307aeaf7a500908bb50d0eca Mon Sep 17 00:00:00 2001
From: Laurent <naaturel@noreply.git.naaturel.be>
Date: Wed, 14 Oct 2026 22:59:26 +0200
Subject: [PATCH] Fix 64-bits bug

---
 src/main/java/Main.java                             |  2 +-
 src/main/java/domain/binary/Individual.java         | 13 +++++++++----
 src/main/java/domain/binary/Population.java         |  4 ++--
 .../binary/algorithm/SimpleGeneticAlgorithm.java    |  2 +-
 4 files changed, 13 insertions(+), 8 deletions(-)

diff --git a/src/main/java/Main.java b/src/main/java/Main.java
index c1917f5..25f520c 100644
--- a/src/main/java/Main.java
+++ b/src/main/java/Main.java
@@ -20,7 +20,7 @@ public class Main {
                 break;
             case 2:
                 SimpleGeneticAlgorithm ga = new SimpleGeneticAlgorithm(
-                        50,
+                        15,
                         0.5,
                         0.025,
                         5,
diff --git a/src/main/java/domain/binary/Individual.java b/src/main/java/domain/binary/Individual.java
index 9626f49..1a74b23 100644
--- a/src/main/java/domain/binary/Individual.java
+++ b/src/main/java/domain/binary/Individual.java
@@ -6,12 +6,13 @@ import lombok.Data;
 @Data
 public class Individual {
 
-    protected int defaultGeneLength = 64;
-    private byte[] genes = new byte[defaultGeneLength];
+    private byte[] genes;
     private int fitness = 0;
 
     public Individual(byte[] solution) {
-        for (int i = 0; i < genes.length; i++) {
+
+        genes = new byte[solution.length];
+        for (int i = 0; i < solution.length; i++) {
             byte gene = (byte) Math.round(Math.random());
             genes[i] = gene;
         }
@@ -28,13 +29,17 @@ public class Individual {
         fitness = 0;
     }
 
+    public int getGenesCount(){
+        return genes.length;
+    }
+
     public void recomputeFitness(byte[] solution) {
         this.fitness = computeFitness(solution);
     }
 
     private int computeFitness(byte[] solution) {
         int fitness = 0;
-        for (int i = 0; i < this.getDefaultGeneLength() && i < solution.length; i++) {
+        for (int i = 0; i < this.genes.length && i < solution.length; i++) {
             if (this.getSingleGene(i) != solution[i]) continue;
             fitness++;
         }
diff --git a/src/main/java/domain/binary/Population.java b/src/main/java/domain/binary/Population.java
index e13c0e6..e703092 100644
--- a/src/main/java/domain/binary/Population.java
+++ b/src/main/java/domain/binary/Population.java
@@ -86,7 +86,7 @@ public class Population {
 
     private Individual crossover(Individual indiv1, Individual indiv2, byte[] solution) {
         Individual newSol = new Individual(solution);
-        for (int i = 0; i < newSol.getDefaultGeneLength(); i++) {
+        for (int i = 0; i < newSol.getGenesCount(); i++) {
             newSol.setSingleGene(i, Math.random() <= uniformRate
                     ? indiv1.getSingleGene(i)
                     : indiv2.getSingleGene(i));
@@ -96,7 +96,7 @@ public class Population {
     }
 
     private void mutate(Individual indiv) {
-        for (int i = 0; i < indiv.getDefaultGeneLength(); i++) {
+        for (int i = 0; i < indiv.getGenesCount(); i++) {
             if (Math.random() <= mutationRate) {
                 byte gene = (byte) Math.round(Math.random());
                 indiv.setSingleGene(i, gene);
diff --git a/src/main/java/domain/binary/algorithm/SimpleGeneticAlgorithm.java b/src/main/java/domain/binary/algorithm/SimpleGeneticAlgorithm.java
index c00eed9..b36bfd9 100644
--- a/src/main/java/domain/binary/algorithm/SimpleGeneticAlgorithm.java
+++ b/src/main/java/domain/binary/algorithm/SimpleGeneticAlgorithm.java
@@ -28,8 +28,8 @@ public class SimpleGeneticAlgorithm extends AbstractGeneticAlgorithm{
 
     @Override
     protected void run() {
-        System.out.println("Generation: " + getGenerationCount() + " Correct genes found: " + population.getFittest().getFitness());
         population = population.evolve(elitism, getSolution());
+        System.out.println("Generation: " + getGenerationCount() + " Correct genes found: " + population.getFittest().getFitness());
     }
 
     @Override