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Code For N Queens Problem Using Genetic Algorithm scripts

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
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Fixed Endpoints Open Multiple Traveling Salesmen Problem Genetic Algorithm

... 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 ... city is visited by exactly one salesman, except for the first and last. Requirements: · MATLAB ...
Matlab
Fixed Endpoints Open Multiple Traveling Salesmen Problem Genetic Algorithm downloadDownload

Fixed Start End Point Multiple Traveling Salesmen Problem Genetic Algorithm

... 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 ... a unique set of cities in between. Except for the first, each city is visited by exactly ...
Matlab
Fixed Start End Point Multiple Traveling Salesmen Problem Genetic Algorithm downloadDownload

Fixed Start Open Multiple Traveling Salesmen Problem Genetic Algorithm

... 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 ... their loops by returning to their starting points).Except for the first, each city is visited by exactly ...
Matlab
Fixed Start Open Multiple Traveling Salesmen Problem Genetic Algorithm downloadDownload

A general solution of Eight Queens

... method to figuren out all solutions of eight queens. Certainly, it can also solve any number of queens. Each solution is a list, and each value of ... index of this value represents it's row number. For instance, list [5,0,4,1,7,2,6,3] means that the first queen ...
Python
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Charlemagne

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 some degree is extensible in both languages. It features built-in input-output mapping support, but also provides the ability to define complex ...
Python
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GODLIKE

... 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 ... requires more function evaluations than any of the algorithms separately. Requirements: · MATLAB 7.7 or higher ...
Matlab
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Fityk

Fityk is a program for nonlinear fitting of analytical functions (especially peak-shaped) to data (usually experimental data). There are also people using it to remove the baseline from data, or ... line interface), variouse optimization methods (standard Marquardt least-square algorithm, Genetic Algorithms, Nelder-Mead simplex), equality constraints, modelling error of x ...
C/C++
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Traveling Salesman Problem Nearest Neighbor

... 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
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Bron Kerbosch Maximal Independent Set Algorithm

Maximal 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 ... the complementThis file is an implementation of this algorithm, geared towards data structures as MATGRAPH graph objects. ...
Matlab
Bron Kerbosch Maximal Independent Set Algorithm downloadDownload

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