(#67) edit seed_par

SevgiAkten · Nov 5, 2024 · 379005c · 379005c
1 parent df89c77
commit 379005c
Show file tree

Hide file tree

Showing 4 changed files with 13 additions and 4 deletions.
diff --git a/pycellga/example/example_alpha_cga.py b/pycellga/example/example_alpha_cga.py
@@ -64,7 +64,8 @@ def run_alpha_cga_example():
         recombination=optimizer.BlxalphaCrossover,
         mutation=optimizer.FloatUniformMutation,
         mins=[-32.768] * 10,  # Minimum values for each gene
-        maxs=[32.768] * 10    # Maximum values for each gene
+        maxs=[32.768] * 10,    # Maximum values for each gene
+        seed_par=100
     )
 
     # Print the results

diff --git a/pycellga/example/example_cga.py b/pycellga/example/example_cga.py
@@ -63,7 +63,8 @@ def run_cga_example():
         recombination=optimizer.ByteOnePointCrossover,
         mutation=optimizer.ByteMutationRandom,
         mins=[-32.768] * 5,  # Minimum values for each gene
-        maxs=[32.768] * 5    # Maximum values for each gene
+        maxs=[32.768] * 5,    # Maximum values for each gene
+        seed_par=100
     )
 
     # Print the results

diff --git a/pycellga/example/example_sync_cga.py b/pycellga/example/example_sync_cga.py
@@ -64,7 +64,8 @@ def run_sync_cga_example():
         recombination=optimizer.BlxalphaCrossover,
         mutation=optimizer.FloatUniformMutation,
         mins=[-32.768] * 5,  # Minimum values for each gene
-        maxs=[32.768] * 5    # Maximum values for each gene
+        maxs=[32.768] * 5,    # Maximum values for each gene
+        seed_par=100
     )
 
     # Print the results

diff --git a/pycellga/optimizer.py b/pycellga/optimizer.py
@@ -101,6 +101,8 @@ def cga(
         List of minimum values for each gene in the chromosome (for real value optimization).
     maxs : list[float]
         List of maximum values for each gene in the chromosome (for real value optimization).
+    seed_par : int
+        Ensures the random number generation is repeatable.
 
     Returns
     -------
@@ -245,7 +247,9 @@ def sync_cga(
     mins : List[float]
         List of minimum values for each gene in the chromosome (for real value optimization).
     maxs : List[float]
-        List of maximum values for each gene in the chromosome (for real value optimization
+        List of maximum values for each gene in the chromosome (for real value optimization.
+    seed_par : int
+        Ensures the random number generation is repeatable.
         
     Returns
     -------
@@ -396,6 +400,8 @@ def alpha_cga(
         List of minimum values for each gene in the chromosome (for real value optimization).
     maxs : List[float]
         List of maximum values for each gene in the chromosome (for real value optimization).
+    seed_par : int
+        Ensures the random number generation is repeatable.
 
     Returns
     -------