tsp_anneal, an Octave code which solves the traveling salesperson problem (TSP) using simulated annealing.
The information on this web page is distributed under the MIT license.
tsp_anneal is available in a Fortran90 version and a MATLAB version and an Octave version and a Python version and an R version.
tsp, a dataset directory which contains test data for the traveling salesperson problem (TSP) including the AT&T 48 state capital test, and Dantzig's 42 city test;
tsp_att48, an Octave code which returns the (x,y) coordinates of the cities that constitute the AT&T 48 state challenge for the Traveling Salesman Problem (TSP).
tsp_brute, an Octave code which is given a table of city locations, and solves a (small) traveling salesperson problem (TSP), using brute force.
tsp_display, an Octave code which displays the solution of a Traveling Salesman Problem (TSP).
tsp_moler, an Octave code which seeks the shortest round trip visiting every city on a list, the traveling salesperson problem (TSP). The original version was written by Cleve Moler.
tsp_nearest, an Octave code which is given a table of city locations, and solves a small traveling salesperson problem (TSP) using the nearest neighbor algorithm. It picks a starting city at random, and then successively visits the nearest unvisited city.
tsp_random, an Octave code which is given a table of city locations, seeks a solution of the Traveling Salesperson Problem (TSP), by randomly generating round trips that visit every city, returning the tour of shortest length.
Original R code by James Howard; This version by John Burkardt.