-2
$\begingroup$

Is there a known way to model the traveling salesman problem (TSP) using non-cooperative game theory?

I only found in the internet cooperative game theory. Why there is no work that solves the TSP using game theory? Is it useless?

Please can anyone suggest an answer. Thank you.

$\endgroup$
3
  • $\begingroup$ I think this question is probably better posted at math.se. $\endgroup$
    – Shane
    May 15, 2015 at 13:13
  • $\begingroup$ Whoever vote down, raise your hand! $\endgroup$
    – zighalo
    May 15, 2015 at 18:28
  • $\begingroup$ Are you scared? $\endgroup$
    – zighalo
    May 15, 2015 at 19:32

1 Answer 1

3
$\begingroup$

TSP is an optimization problem, the decision version is NP-complete. By optimization, we mean searching for the global minimum total length. We can imagine that there is a central operator who can control the whole stuff.

However, in game theory, usually, it uses different criteria to measure, for example, Nash Equilibrium, it needs to consider the corresponding strategy of the opposite players, as the outcome replies on the interactive behaviors of each players. Thus, you can see, each player can be seen as an operator. It has many local considerations, which may not lead to global optimum. Actually, usually it is not. But we can use some concepts to measure the how far is it from the global optimum in Nash Equilibrium, such as Price of Anarchy, Price of Stability.

Sure, you can also assume each node as a player in the game, design game mechanism and strategy space for each player, then look at the global behavior in equilibrium state. However, it has been different than the original TSP problem.

$\endgroup$
2
  • $\begingroup$ Then, how can we solve the tsp in a distributed manner? $\endgroup$
    – zighalo
    May 15, 2015 at 13:51
  • $\begingroup$ @zighalo, as I have explained above, you need to design game mechanism and strategy space for each player, then look at the global behavior in equilibrium state. $\endgroup$
    – user39815
    May 15, 2015 at 14:15

Not the answer you're looking for? Browse other questions tagged or ask your own question.