Traveling Salesman Person

traveling-salesman is a GPS -route-planning and -navigation -system based on libosm and the OpenStreetMap.

simulatedannealing() is an optimization routine for traveling salesman problem. Any dataset from the TSPLIB can be suitably modified and can be used with this routine. A detailed description about the function is included in "Simulated_Annealing_Support_Document.pdf."A GUI is used with the core...

This method produces different results depending on what city is choosen as the starting point.This function determines the Nearest Neighbor routes for multiple starting points and returns the best of those routes. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The user has to supply the fixed ending points before the script can be ran. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The algorithm computes the optimal route from a fixed predetermined starting point to all other cities without returning to the starting point. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Simulated Annealing Optimization m-file The program set can be used to solve TRAVELING SALESMAN PROBLEMSfrom the TSPLIB.


Platforms: Matlab

The user is presented with the near-optimal solution and performance chart in a dialog window.


Platforms: Matlab

The user has to supply the fixed ending points before the script can be ran.


Platforms: Matlab

The algorithm computes the optimal route from a fixed predetermined starting point to all other cities without returning to the starting point.


Platforms: Matlab

JOpt.NET TourPlanner is an automated vehicle routing software and dispatching .NET component for logistic applications that can solve Traveling Salesman Problems (TSP) and Capacitated Vehicle Routing Problems with Time Windows (CVRPTW,VRPTW). JOpt.NET offers route and transport optimisation with...


Platforms: Windows

JOpt.NET TourPlanner is an automated vehicle routing software and dispatching .NET component for logistic applications that can solve Traveling Salesman Problems (TSP) and Capacitated Vehicle Routing Problems with Time Windows (CVRPTW,VRPTW). JOpt.NET offers route and transport optimisation with...


Platforms: Windows

This method produces different results depending on what city is choosen as the starting point.This function determines the Nearest Neighbor routes for multiple starting points and returns the best of those routes.


Platforms: Matlab

Algorithm::TravelingSalesman::BitonicTour is a Perl module to solve the euclidean traveling-salesman problem with bitonic tours. SYNOPSIS use Algorithm::TravelingSalesman::BitonicTour; my $bt = Algorithm::TravelingSalesman::BitonicTour->new; $bt->add_point($x1,$y1); $bt->add_point($x2,$y2);...


Platforms: *nix

Finds a (near) optimal solution to a variation of the M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to individual cities and back to the original starting place).Each salesman starts at the first point, and...


Platforms: Matlab

Finds a (near) optimal solution to a variation of the "open" M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to unique individual cities without returning to the starting location).Each salesman starts at the...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The script finds a (near) optimal solution to a variation of the "open" M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to unique individual cities and finally to the end location).Each salesman starts at the...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Finds a (near) optimal solution to a variation of the M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to individual cities and back to the original starting place).Each salesman starts at the first point, and...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

It finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed for the salesmen to travel to each city exactly once and return to their starting locations).Each salesman travels to...


Platforms: Matlab

Finds a (near) optimal solution to a variation of the "open" M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to unique individual cities without returning to the starting location).Each salesman starts at the...


Platforms: Matlab

The script finds a (near) optimal solution to a variation of the "open" M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to unique individual cities and finally to the end location).Each salesman starts at the...


Platforms: Matlab