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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 ...

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 ...

Multiple Variable Traveling Salesmen Problem Genetic Algorithm

Matlab

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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 ...

Fixed Start End Point Multiple Traveling Salesmen Problem Genetic Algorithm

Matlab

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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 ...

Fixed Start Open Multiple Traveling Salesmen Problem Genetic Algorithm

Matlab

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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, ...

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

GODLIKE

Matlab

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... 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 ...

OpenAutoClassifieds Script

OpenAutoClassifieds is a free, open source vehicle classifieds manager. Intended to be both easy to ... browser, If photos are not uploaded for a vehicle, a "photo not available" image will be automatically displayed for the listing. - Basic Login Of course, OpenAutoClassifieds is written entirely in PHP, which makes ...

Fityk

... line interface), variouse optimization methods (standard Marquardt least-square algorithm, Genetic Algorithms, Nelder-Mead simplex), equality constraints, modelling error of x ...

Auto Tracker

Auto Tracker provides a simple method of tracking vehicle fuel efficiency and maintenance. Auto Tracker is currently ... data calculation and validation. Features: - Track multiple vehicles for fuel and maintenance. - User customizable vehicle and maintenance lists - Maintenance and fuel ...

Traveling Salesman Problem Nearest Neighbor

Matlab

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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 ...

Bron Kerbosch Maximal Independent Set Algorithm

Matlab

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... 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. ...

MLE for two Normal Mixtures using EM algorithm

Matlab

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

Porter Stemming Algorithm

... a fairly faithful implementation of the Porter stemming algorithm that reduces English words to their stems.There is a deviation in the way compound words are stemmed, such as hyphenated words and words starting with certain prefixes. For instance, "international" should be reduced to "internation" and not "intern," but an unmodified ...

librsync

... free software library that implements the rsync remote-delta algorithm. This algorithm allows efficient remote updates of a file, without requiring the old and new versions to both be present at the sending end. The library ...

All k subsets from an n set

Python

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This script yields each subset of size k from a super set of size n. There are two methods. The first operates on sets of integers of the form range(n). The seconds operates on arbitrary sets or lists. ...

Open BEAGLE

... any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy.The Open BEAGLE architecture follows strong ... with output in XML - Parameters and algorithms dynamically configurable by files - Generic representation of the algorithms using a plug-in mechanism - Milestone mechanism ...

Anagram Fetcher

Python

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This script provides you code for fetching Anagrams out of any given file that contains words seperated by new lines. ...

Group and partition

Python

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This script enables the group_by functionality like the similar function existing in Ruby on Rails. ...
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