Genetic Research

It allows to search for product using keywords, price range, category and manufacturer like as "advanced search page" but more simple and fast and not force the customers insert data in any field (in this case all products is returned).The "advanced search page" and "quick find infobox" are not... Platforms: Windows, *nix, PHP, BSD

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... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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 Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

ParaDB is a web-based PHP/MySQL application designed for use by ghost hunting and paranormal research organizations. The software consists of a web-based interface for case management, client relations and investigation reporting. As the name implies, all data is stored in a back-end database,... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

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... Platforms: *nix, Python, BSD

Includes six lessons and supporting MATLAB codes for STAP research. Platforms: Matlab

The function implement the 1D Walash Transform which can be used in signal processing,pattern recognition and Genetic algorithms. The Formula of 1D Walsh Transform is defined as : N-1 q-1 ---- -- 1 | | b[i](m)*b[q-1-i](u) W(u) = --- / f(m)| | (-1) ,u = 0,...,N-1 N ---- | | m=0 i=0 where for... Platforms: Matlab

The function implement the 1D Walash Transform which can be used in signal processing,pattern recognition and Genetic algorithms. The Formula of 1D Walsh Transform is defined in mfile Platforms: Matlab

The function generates sequency(Walsh) ordered Hadamard matrix useful for image processing, signal processing, genetic algorithms etc. Platforms: Matlab

This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.Note: You will need to have the following products installed in order to run this demo: MATLAB, Simulink, Optimization Toolbox,... Platforms: Matlab

it is used for genetic algorithm implementation for scheduling in wireless sensor networks Platforms: Matlab

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle... Platforms: Matlab

This program demonstrates the optimization by genetic algorithm to find the global maximum height for thee dimensional multiple peak surface. The GA operates by real coding method with elitism Platforms: Matlab

TurboGA is an augmented version of the Matlab script SpeedyGA (also available on File Exchange). TurboGA uses a simple mechanism called clamping, which, according to a new theory about the workings of genetic algorithms (see http://www.cs.brandeis.edu/~kekib/dissertation.html ), should... Platforms: Matlab

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.The objective is to find the pareto front of the MOO problem defined as follows: Maximize: f1(X) = 2*x1 + 3*x2 f2(X) = 2/x1 + 1/x2 such that: 10 > x1 > 20 20 > x2 > 30The... Platforms: Matlab

Determinantal matrix representations of hyperbolic polynomials are a current topic of interest and research among those working with LMI's (Linear Matrix Inequalities) and SDP (semi-definite programming). This toolbox was used to demonstrate some of the theorems presented in the author's Ph.D.... Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to... Platforms: Matlab

This function can find the maximum of constrained and unconstrained problems with using of genetic algorithm (real coding). Also the performance of GA is plotted vs. the number of generations (for 2D problems). Platforms: Matlab

ASNread reads in ASN-formatted genetic sequence data into a MATLAB structure. Platforms: Matlab