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 ...

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 first point, ...

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 ...

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 ...

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 ...

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 ...

The difference to the classic TSP is that the salesman doesn't travel in loop across the circuit. Requirements: · MATLAB 7.6 or higher ...

... optimization problems using relatively basic implementations of a **genetic algorithm**, differential evolution, particle swarm optimization and adaptive simulated annealing **algorithm**s.The script is primarily intended to increase robustness, not ... requires more function evaluations than any of the **algorithm**s separately. Requirements: · MATLAB 7.7 or higher ...

The script uses distance transform instead of thinning base as the primary method for skeletonization.The method is sensitive to the value of the user defined Thinness Parameter (TP).An alternative approach to 3D skeletonization that use the gradient and divergence of the distance transform is also given. Requirements: · MATLAB 6.5 ...

The function's **algorithm** uses Gaussian integer factorization and variable precision integers. Requirements: · MATLAB 7.8 or higher ...

... come in handy for certain applications. The Bron-Kerbosch **algorithm** is a well-known **algorithm** for listing all the maximal independent sets.It is ... the complementThis file is an implementation of this **algorithm**, geared towards data structures as MATGRAPH graph objects. ...

... linear model by using Henderson's Mixed Model Equations **Algorithm**. Requirements: · MATLAB Release: R10 ...

On line graphical presentation of parameter estimation of mixtures of two Normals defined by a Bernouli trial. Requirements: · MATLAB Release: R13 ...

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