**Language:**Matlab**Platform:**Windows / Linux / Mac OS / BSD / Solaris**License:**BSD - BSD License**Databases:**N/A**Downloads:**24206**Released:**Jul 30, 2009

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 ends at the first point, but travels to a unique set of cities in between.

Except for the first, each city is visited by exactly one salesman.

This tool provides a graphic user interface in which the user is presented with detailed graphs and charts about the solution.

This tool provides a graphic user interface in which the user is presented with detailed graphs and charts about the solution.

**Requirements:**

· MATLAB 7.6 or higher

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... 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 **start**s at the first **point**, and ends at the last **point**, but travels to a unique set of cities ...

... 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 **start**ing location).Each salesman **start**s at the first **point**, but travels to a unique set of cities ... them close their loops by returning to their **start**ing **point**s).Except for the first, each city is visited ...

The **algorithm** computes the optimal **route** from a **fixed** pre**determine**d **start**ing **point** to all other cities without returning to the **start**ing **point**. Requirements: · MATLAB 7.6 or higher ...

... depending on what city is choosen as the **start**ing **point**.This function **determine**s the Nearest Neighbor **route**s for **multiple start**ing **point**s and returns the best of those **route**s. Requirements: · MATLAB 7.6 or higher ...

... of vertices) and the diameter (farthest pair of **point**s), given input consisting of a list of 2d **point**s represented as pairs (x,y). The convex hull **algorithm** is Graham's scan, using a coordinate-based sorted order ... commonly seen radial sorted order. A rotating calipers **algorithm** generates candidate pairs of vertices for the diameter ...