Fixed contour plotting, assignment complete

GA.jl

@@ -187,7 +187,6 @@ function GA(populationSize::Int, chromosomeSize::Int, fitness_function::Function
         end
         clear!(:generations)
         clear!(:population)
-        clear!(:children)
         run += 1
     end
 
@@ -219,27 +218,37 @@ function GA(populationSize::Int, chromosomeSize::Int, fitness_function::Function
         quit()
     end
 
-    # Init x and y z for contour plots
-    x = y = z = Array{Float64}(0)
+
+    # Pick X and Y range for contour plot based on bounds
+    xrange = bounds[1][1]:0.01:bounds[1][2]
+    yrange = bounds[2][1]:0.01:bounds[2][2]
+    size = length(xrange)
+    # Init z array for values of fitness function
+    z = zeros(size,size)
+    for i in 1:size
+        for j in 1:size
+            # Generate a z value for each x and y value
+            z[i,j] = fitness_function([xrange[i],yrange[j]])
+        end
+    end
+    # If we are at 1st gen or evry 10th, plot
     for (index, gen) in enumerate(bestGenerations)
         if (index == 1) || (mod(index,10) == 0)
+            # Re-init x and y for the generation
+            x = Array{Float64}(0)
+            y = Array{Float64}(0)
+            # Push x and y to separate arrays
             for m in gen
                 push!(x,m[1])
                 push!(y,m[2])
             end
-            size = length(x)
-            z = rand(size,size)
-            for i in 1:size
-                for j in 1:size
-                    z[i,j] = fitness_function([x[i],y[j]])
-                end
-            end
-            contour(x,y,z)
+            # Plt the contour plot
+            contour(xrange,yrange,z)
+            # Then plot the scatter underneath
+            scatter(x,y)
+            title("Generation $index")
             savefig("contour_gen$index.png")
             close()
-            clear!(:x)
-            clear!(:y)
-            clear!(:z)
         end
     end