With neither minds nor maps- chemical-sensing immune players do well with decades-old mathematical problem, a computer simulation reveals.

The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route ...

This paper elaborates a method of attack on traveling-salesman problems, proposed by the authors in an earlier paper, in which linear programming is used to reduce the combinatorial magnitude of such ...

Application is made to the preference order dynamic programming solution procedure proposed by Kao for a stochastic traveling salesman problem. Although the procedure is flawed from the myopic ...

Techniques such as dynamic programming were able to get the number of routes to calculate down to n 2 2 n or 7,372,800 possible routes for 15 destinations, a far cry less than one trillion.

Forget GPS. With no fancy maps or even brains, immune system cells can solve a simple version of the traveling-salesman problem, a computational conundrum that has vexed mathematicians for decades.

The task is the long-standing challenge known as the traveling salesman problem, or TSP for short. Finding a method that can quickly solve every example of the TSP would be a stunning breakthrough ...

We need to understand how they can solve the Travelling Salesman Problem without a computer. What short-cuts do they use?' Story Source: Materials provided by University of Royal Holloway London.

Figure 1: Traveling Salesman Problem Using an Evolutionary Algorithm in Action This article assumes you have intermediate or better programming skill but doesn't assume you know anything about ...