Testing

src/initialization/focused_initialization.py

@@ -0,0 +1,16 @@
+# Import the data structure
+from .population_structure.population import population as create_population
+from .chromosome_structure.chromosome import chromosome as create_chromosome
+from .gene_structure.gene import gene as create_gene
+
+def focused_initialization(chromosome_length,population_size,gene_function):
+    # Create the population object
+    population = create_population()
+    # Fill the population with chromosomes
+    for i in range(population_size):
+        chromosome = create_chromosome()
+        #Fill the Chromosome with genes
+        for j in range(chromosome_length):
+            chromosome.add_gene(create_gene(gene_function()))
+        population.add_chromosome(chromosome)
+    return population

src/run_testing.py

@@ -1,20 +1,16 @@
 import EasyGA
+import random
 
 # Create the Genetic algorithm
 ga = EasyGA.GA()
 
-#Creating a gene with no fitness
-gene1 = ga.make_gene("Im a gene")
-gene2 = ga.make_gene("Im also a gene")
-#Creating a Chromosome with no genes
-chromosome = ga.make_chromosome()
-chromosome.add_gene(gene1)
-chromosome.add_gene(gene2)
-# Creating a populaiton
-populaiton = ga.make_population()
-populaiton.add_chromosome(chromosome)
+def user_defined_gene():
+    return random.choice(["left","right","up","down"])
 
-print(gene1)
-print(chromosome)
-print(populaiton)
-populaiton.print_all()
+ga.gene_function_impl = user_defined_gene
+
+# Creating population
+ga.initialize()
+
+# Print the current population
+ga.population.print_all()