travelling salesman problem

Many of his games can be seen as board game variations on the travelling salesman problem.

This is a special case of the generalised travelling salesman problem.

The travelling salesman problem is regarded as difficult to solve.

For example, hill climbing can be applied to the travelling salesman problem.

One such problem is known as the Travelling salesman problem.

This article is about the heuristic for the travelling salesman problem.

The origins of the travelling salesman problem are unclear.

It has also been used to produce near-optimal solutions to the travelling salesman problem.

Edge recombination is generally considered a good option for problems like the travelling salesman problem.

A more realistic problem we might wish to solve is the travelling salesman problem.

Given a solution to this problem, we can solve the travelling salesman problem as follows.

This technique can be applied to the travelling salesman problem as well as many related problems.

Take the travelling salesman problem, for example.

For example, the decision problem analogue to the travelling salesman problem is this:

By solving the Travelling salesman problem quickly the mathematicians can, for example, also factor large numbers quickly.

For example, inputs to the general Travelling salesman problem need not obey the triangle inequality, unlike real road networks.

The nearest neighbour algorithm was one of the first algorithms used to determine a solution to the travelling salesman problem.

The Travelling Salesman Problem is an instance of this problem.

A classic example is the so-called Travelling Salesman Problem.

The travelling salesman problem is sometimes known as the Willy Loman problem.

Hassler Whitney at Princeton University introduced the name travelling salesman problem soon after.

The bottleneck travelling salesman problem is also NP-hard.

The travelling salesman problem is the problem of finding the shortest path that goes through every vertex exactly once, and returns to the start.

There are also a variety of other problem-specific heuristics, such as the k-opt heuristic for the travelling salesman problem.

(See for instance or example in travelling salesman problem, in particular the use of an edge recombination operator.)