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Open Traveling Salesman Problem Genetic Algorithm

Matlab

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

Fixed Start Open Traveling Salesman Problem Genetic Algorithm

Matlab

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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 ...

Multiple Variable Traveling Salesmen Problem Genetic Algorithm

Matlab

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... 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 ... to a unique set of cities and completes the route by returning to the city he started ...

Fixed Endpoints Open Multiple Traveling Salesmen Problem Genetic Algorithm

Matlab

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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 first point, ...

Fixed Start End Point Multiple Traveling Salesmen Problem Genetic Algorithm

Matlab

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... 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, ...

Fixed Start Open Multiple Traveling Salesmen Problem Genetic Algorithm

Matlab

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... 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, but travels to a unique set ...

Charlemagne

Python

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Charlemagne is a genetic programming application which aims to be highly configurable and applicable to a broad range of problems.It is written in Python and Lisp and to ... features built-in input-output mapping support, but also provides the ability to define complex fitness calculators in Lisp or Python. Requirements: ...

solve

SolVE is a Local Shared Object View/Editor that runs ... probably Linux, but never tested). Coded in Java with IBM’s SWT, SolVE looks and behaves like a native application making transparent to the end user that Java is under the hood. ...

GODLIKE

Matlab

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... multi-objective optimization, simply by adding additional 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 ... usually requires more function evaluations than any of the algorithms separately. Requirements: · MATLAB 7.7 or ...

Traveling Salesman Problem Nearest Neighbor

Matlab

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... 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 ...

Constraint based Sudoku Solver

Python

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This code uses the constraint package to solve sudoku puzzles. It's designed to be flexible and tested with 9x9 puzzles with 1-9 as possible values. In theory it should be able to solve puzzles of different sizes comprised of letters or ...

Bron Kerbosch Maximal Independent Set Algorithm

Matlab

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

MLE for two Normal Mixtures using EM algorithm

Matlab

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... by a Bernouli trial. Requirements: · MATLAB Release: R13 ...

mixed

Matlab

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Estimates the parameters of mixed linear model by using Henderson's Mixed Model Equations Algorithm. Requirements: · MATLAB Release: R10 ...

Fityk

... There are also people using it to remove the baseline from data, or to display data only. ... line interface), variouse optimization methods (standard Marquardt least-square algorithm, Genetic Algorithms, Nelder-Mead simplex), equality constraints, modelling error of x ... handling series of datasets, automation of common tasks with scripts, and more. Requirements: · GTK+ ...

gencoder

... a simple php encoder that use base64 function algorithm to encode and decode the script.The drawback of this script: - it doesn't ... normal php script (because it need to re-read the script and decode it). - only work ... because of limitation of eval function. - the encoded file will grow in double or more. ...

Fly Through Animation

Matlab

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This animation gives a glimpse of the simulated data fly-throughs and animations made possible with MATLAB 5 by relying on features such as movable ... target, and angle control. You can save any MATLAB plot sequence and then play that sequence back using the movie function. Use a web browser to open ...

Arithmetic Practice

... LCM and HCF can also be practiced. At the end of the practice session (which lasts as long as you wish), you can see the score i.e. the number of problems correctly solved as well as the number of problems the child could not solve. Unless the child gets a problem right, the ...

Check

Check is a unit testing framework for C. It features a simple interface for defining unit tests, putting little in the way of the developer. Tests are run in a separate address ... errors that cause segmentation faults or other signals. The output from unit tests can be used within source code editors ...

POL

Matlab

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This is an improved version of the POL.M application already published in this site. It calculates a topographic polygonal using the least-squares method for planimetric coordinates. It also calculates the altimetric coordinates of the points that define the polygonal using the averages method.For more information and examples type "help pol" in the MATLAB command window. Requirements: · MATLAB ...
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