https://doi.org/10.2307/2582378 • https://www.jstor.org/stable/2582378 Copy URL An algorithm is presented for randomly generating travelling-salesman problems (TSPs ...

This is a preview. Log in through your library . Abstract We consider partitioning algorithms for the approximate solution of large instances of the traveling-salesman problem in the plane. These ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...

These routes were comparable to the solutions calculated by a computer algorithm. Currently, when there are many target cities, the best way to tackle the traveling-salesman problem is a tool called ...

Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items). The goal of a combinatorial ...

Many important and valuable planning and scheduling problems in logistics and automation are combinatorial optimization problems. The most famous problem of this type is the traveling salesman problem ...

Is it hopeless to try to compute the shortest route to visit a large number of cities? Not just a good route but the guaranteed shortest. The task is the long-standing challenge known as the traveling ...

After 44 years, there’s finally a better way to find approximate solutions to the notoriously difficult traveling salesperson problem. When Nathan Klein started graduate school two years ago, his ...

A theoretical physicist named Eugene Wigner once referred to “the unreasonable effectiveness of mathematics” -- a phrase that, on first hearing, sounds paradoxical. Math seems like rationality itself, ...