## Implementation Of Election Algorithm HTML scripts

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#### Fixed Start Open Multiple Traveling Salesmen Problem Genetic Algorithm

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, ...
Matlab

#### Fixed Endpoints Open Multiple Traveling Salesmen Problem Genetic Algorithm

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 ...
Matlab

#### Fixed Start End Point Multiple Traveling Salesmen Problem Genetic Algorithm

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 ...
Matlab

#### Traveling Salesman Problem Nearest Neighbor

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 ...
Matlab

#### Fixed Start Open Traveling Salesman Problem Genetic Algorithm

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 ...
Matlab

#### GODLIKE

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

#### mweka

The GUI executes various WEKA classifiers and displays the results in MATLAB. Key features "mweka": · Command line options for running weka · Demonstrate how to change classifier option using java class (similiar to GenericObjectEditor in weka) · Read and Write ARFF file to/from MATLAB · Able to select attributes ...
Matlab

#### Skeleton in 3D

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 ...
Matlab

#### Sumsqint

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

#### Bron Kerbosch Maximal Independent Set Algorithm

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