gmichaelson / ga_in_python Goto Github PK

Sir, Can you please tell the approach of how to modify this algorithm according to simulated annealing procedure.

Hi gmichealson,

Came across your video and wanted to give it a go. Found the video very useful, please keep making them.

I found a minor bug in your script was able to get a work around.

x=[0.5] + [x + 0.5 for x in route[0:len(route)-1]] + [len(the_map) - 0.5]

I think what is happening is that, in this line, the value of x is the last element from the for-loop instead of what we assign from the whole statement

when I tried to print out value of x and y, I get
999 (value of x)
[0.5, 738.5, 387.5, 224.5, 323.5, 302.5, 112.5, 655.5, 427.5, 873.5, 299.5, 997.5, 999.5, 999.5] (value of y)

I hence used a different variable x1 (see code snippet below) for the plot and all works well

def plot_best(the_map, route, iteration_number):
    ax = sns.heatmap(the_map)
    
    x1=[0.5] + [x + 0.5 for x in route[0:len(route)-1]] + [len(the_map) - 0.5]
    y=[0.5] + [x + 0.5 for x in route[1:len(route)]] + [len(the_map) - 0.5]
    
    plt.plot(x1, y, marker = 'o', linewidth=4, markersize=12, linestyle = "-", color='white')
    #plt.savefig('images/new1000plot_%i.png' %(iteration_number), dpi=300)
    plt.show()

Thanks again for the video.