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 Genetic Algorithm In Matlab Code 

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SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell's GA book. See comments in code for details.

This script has played a crucial part in the development of a new, unified explanation for the adaptive capacity of genetic algorithms (including ones with uniform...

Matlab-invoked Perl code which cleans up syntax in Matlab code you may have downloaded or inherited:

1) gets rid of trailing commas in "switch", "case", "if and "else" statements.


A framework for utilising the Genetic Algorithm in the domain of Game Theory

the z-transform in MATLAB code for simple signal

M-files accompanying the " Genetic Algorithms & New Optimization Methods in MATLAB " webinar.

These files provide what you need to run the two demos: Optimization of non-smooth objective function, and Optimization of a...

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...

The example is on developing an algorithm for detecting an object (green ball) in MATLAB. The demo highlights
* image import (and video import)
* image visualization
* simple image processing
* automatic report generation

The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling...


PID controller has been extensively used in the industrial world. But in this controller it is difficult to tune the PID gains.

We apply the genetic algorithm(GA) to tune the PID gains. The GA is agorithm using the biotic; gene the...

We use the genetic algorithm (gatool) to determine the four parameters of the implicit Forst-Kalkwarf-Thodos Model. Predictions are in perfect agreement with data of vapour pressure of iodobenzene versus temperature for a temperature range from...

This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot
arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a...

M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005

These files provide what you need to run the two demos:
1) The first demo is a demonstration of...

The attached model implements a Sobel edge detection algorithm in Embedded MATLAB.

This demo shows how to read in an image operate on the serialized data and reconstruct the image back from serialized data after applying Sobel...

This is a very user friendly Gram Schmidth Algorithm implemented in MATLAB.
I have already submited a file of the same algo,bt this one is bit more flexible than previous.
Hope u will find it useful.

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

Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar ( describing strategies for handling large amounts of data in MATLAB and avoiding...

Extended compact genetic algorithm (ECGA) is an algorithm that can solve hard problems
in the binary domain. ECGA is reliable and accurate because of the capability of
detecting building blocks, but certain difficulties are encountered...

An object oriented library of an Genetic Algorithm, implemented in Java. Clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and Fitness Function. The fitness calculation is parallelized.

Galapagos is a Genetic Algorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an...