... 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 ...

... 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, ...

... 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 **with**out returning to **the** starting location).Each salesman starts at **the** first point, but travels to a unique set ...

Charlemagne is a **genetic** programming application which aims to be highly configurable and applicable to a broad range of **problem**s.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: ...

... multi-objective optimization, simply by adding additional objective functions.It **solve**s optimization **problem**s using relatively basic implementations of a **genetic algorithm**, differential evolution, particle swarm optimization and adaptive simulated annealing **algorithm**s.**The** script is primarily intended to increase robustness, not ... usually requires more function evaluations than any of **the algorithm**s separately. Requirements: · **MATLAB** 7.7 or ...

... 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 ...

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 ...

... 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. ...

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

... 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 Algorithm**s, Nelder-Mead simplex), equality constraints, modelling error of x ... handling series of datasets, automation of common tasks **with** scripts, and more. Requirements: · GTK+ ...

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

... 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. ...

... 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 **problem**s correctly **solve**d as well as **the** number of **problem**s **the** child could not **solve**. Unless **the** child gets a **problem** right, **the** ...

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 **with**in source code editors ...

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 ...

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** ...

When running **unit** tests, using **the** verbose flag often provides an extra level of protection against mistakes. When running from **the** command line, this simply means adding **the** -v option. If you use an IDE, matters ... can often set your IDE to pass in **the** -v option when running a file, this has ...

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