In this series I provide a simple yet practical Introduction to Simulated Annealing and show how to use it to address the Travelling Salesman Problem ...
Schönes Programm. Der A* kommt aber im Labyrinth an seine "worst-case"
Laufzeit, ist er hier überhaupt ideal?
Welche logic nutzt du für das TSP. Steuerst du einfach den
nächstgelegensten Punkt an?
Gruß
In this series I provide a simple yet practical Introduction to Simulated Annealing and show how to use it to address the Travelling Salesman Problem ...
+Dr Noureddin Sadawi Oh well, it's a minor "mistake". Btw, I also noticed you used random.nextInt(1000) / 1000.0 to get a double between 0 and 1 but you can actually use random.nextDouble() to get a double between 0 and 1. (Not trying to be an asshole btw, nice videos!)
+Sintaxx2 true .. I've no idea what I was thinking :-)thanks for the comment!
TSP Genetic Algorithm
Using artificial intelligence (AI): Finding a good solution to the Travelling Salesman Problem (TSP) by applying genetic algorithms (GA) in Java. In this example ...
In this series I provide a simple yet practical Introduction to Simulated Annealing and show how to use it to address the Travelling Salesman Problem ...
Please correct me if I'm wrong, but shouldn't the acceptance probability be
>= the random value? If the random value was by coincidence 1.0, and the
new solution was in fact better than the previous one, both the acceptance
probability and the random value would be 1.0. But the algorithm would not
accept this solution because of the > instead of the >=. Just a thought,
since this (very rare, I admit) coincidence could miss some solutions along
the way.
+5iGnuM You could be right .. the code is available online .. feel free to modify it as you wish!
Tannenbaum 8e Applet - Traveling Salesman Problems
Video demo of java applet for Tannenbaum's Excursions in Modern Mathematics 8th Edition. This applet on Traveling Salesman Problems allows the user to ...