Several Changes

Crossover/Mutation:
- Split into individual and population subclasses.
- Added sequential population crossover selection.
- Renamed and reimplemented mutation methods.

EasyGA:
- Improved make_obj methods for the chromosomes and populations to take arguments.

Initialization:
- Improved to shorter code.
- Fixed repeated error messages

Chromosome:
- Changed get/set_genes to get/set_gene_list.

src/initialization/chromosome_structure/chromosome.py

@@ -27,7 +27,7 @@ class Chromosome:
         del self.gene_list[index]
 
 
-    def get_genes(self):
+    def get_gene_list(self):
         return self.gene_list
 
 
@@ -40,7 +40,7 @@ class Chromosome:
         self.gene_list[index] = gene
 
 
-    def set_genes(self, genes):
+    def set_gene_list(self, genes):
         self.gene_list = genes
 
 

src/initialization/initialization_methods.py

@@ -7,27 +7,26 @@ class Initialization_Methods:
     """Initialization examples that are used as defaults and examples"""
 
     def random_initialization(ga):
-        """Takes the initialization inputs and choregraphs them to output the type of population with the given parameters."""
+        """Takes the initialization inputs and returns a population with the given parameters."""
 
-        # Create the population object
-        population = create_population()
+        # Using the chromosome_impl to set every index inside of the chromosome
+        if ga.chromosome_impl != None:
+            return create_population([
+                       create_chromosome([
+                           create_gene(ga.chromosome_impl(j))
+                       for j in range(ga.chromosome_length)])
+                   for i in range(ga.population_size)])
 
-        # Fill the population with chromosomes
-        for i in range(ga.population_size):
-            chromosome = create_chromosome()
-            #Fill the Chromosome with genes
-            for j in range(ga.chromosome_length):
-                # Using the chromosome_impl to set every index inside of the chromosome
-                if ga.chromosome_impl != None:
-                    # Each chromosome location is specified with its own function
-                    chromosome.add_gene(create_gene(ga.chromosome_impl(j)))
-                    # Will break if chromosome_length != len(lists) in domain
-                elif ga.gene_impl != None:
-                    function = ga.gene_impl[0]
-                    chromosome.add_gene(create_gene(function(*ga.gene_impl[1:])))
-                else:
-                    #Exit because either were not specified
-                    print("You did not specify any initialization constraints.")
-                    break
-            population.add_chromosome(chromosome)
-        return population
+        # Using the gene_impl to set every gene to be the same
+        elif ga.gene_impl != None:
+            function = ga.gene_impl[0]
+            return create_population([
+                       create_chromosome([
+                           create_gene(function(*ga.gene_impl[1:]))
+                       for j in range(ga.chromosome_length)])
+                   for i in range(ga.population_size)])
+
+        # Exit because no gene creation method specified
+        else:
+            print("You did not specify any initialization constraints.")
+            return None