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Optimal 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

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 ...
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, ...
Matlab

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 ...
Matlab

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 fitness ...
Python

GODLIKE

... 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

Fityk

... 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 ...

Optimal Title

This allows having the blog name tacked on to the end of the page title instead of having it appear first.Having your page information appear before your blog name in the title is advantageous because it provides more meaningful search engine results and browser bookmark names. The text that appears between ...

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 ... the complementThis file is an implementation of this algorithm, geared towards data structures as MATGRAPH graph objects. ...
Matlab

MLE for two Normal Mixtures using EM algorithm

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

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