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 ...

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 ...

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 ...

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, ...

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

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 ...

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 ...

... optimization problems 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 ... requires more function evaluations than any of the **algorithm**s separately. Requirements: · MATLAB 7.7 or higher ...

The script uses distance transform instead of thinning base as the primary method for skeletonization.The method is sensitive to the value of the user defined Thinness Parameter (TP).An alternative approach to 3D skeletonization that use the gradient and divergence of the distance transform is also given. Requirements: · MATLAB 6.5 ...

... forums - Full threading - Highly optimized tree-drawing **algorithm** - Opening/collapsing threads - Opened threads are remembered in HTTP cookies - Simple search engine - Marking unread messages - Listing of last unread messages - Showing all message bodies from one thread on one page - Converting WWW and e-mail ...

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

... 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. ...

It currently implements these SHA **algorithm**s: SHA-1, SHA-224, SHA-256, SHA-384 and SHA-512. What's New ... This Release: · Added the HMAC **algorithm** for all supported hashes (using both ASCII and hex keys) · As a result of adding HMAC, added support for hash input text to be hex (ASCII ...

... a simple php encoder that use base64 function **algorithm** to encode and decode the script.The drawback of this script: - it doesn't have a key for encryption / decryption method. - run slower then normal php script (because it need to re-read the script and decode it). - ...

The function's **algorithm** uses Gaussian integer factorization and variable precision integers. Requirements: · MATLAB 7.8 or higher ...

... Engine implementation, ReteOO, based on Charles Forgy's Rete **algorithm** tailored for the Java language. More importantly, Drools provides for Declarative Programming and is flexible enough to match the semantics of your problem domain with Domain Specific Languages, graphical editing tools, web based tools and developer productivity tools.FeaturesEngine - Full Rete ...

Balance is a successful load balancing solution being a simple but powerful generic tcp proxy with round robin load balancing and failover mechanisms. Its behaviour can be controlled at runtime using a simple command line syntax. ...

MODEL is a numeric simulation library written to simulate systems of rate equations describing Vertical Cavity Surface Emitting Lasers (VCSELs). Features: - deterministic integration of any system of well-behaved differential equations. - stochastic integration of these systems, with the possibility of specifying the correlations present in the noise - ...

... an implementation of a Receiver Autonomous Integrity Monitoring **algorithm**. - Mathematics. Includes Matrix and Vector implementations, as well as interpolation and numerical integration. - Application framework. Includes processing command lines options, providing interactive help and working with file systems. ...

... though it does so based on a fixed **algorithm** involving the current date, not the actual number of visitors. The result is a counter that is always increasing, unlike most other JavaScript counters that simply generate a random number to display. Use it to add a fun, inflatable, and most ...

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