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 Genetic Fuzzy Matlab 

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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 random stochastic objective function.

To run the first demo run the file 'nonSmoothOpt.m'.

To run the second demo run the file 'PSdemo.m'.

View the recorded webinar...



Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"

The zip file contains the data and files used to develop an application to track a market index using Genetic...



The software includes MATLAB files implementing operations on nodes in fuzzy rule based networks as well as Word files illustrating the use of the m-files with the help of examples.



It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there...



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...



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



Compact C routine to evaluate a MATLAB Sugeno type fuzzy inference system (fis). Intended to run on a microcontroller based system with limited memory.



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...



This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/wbnr43346

MultStart Demos

* Peaks Minimization
* Nonlinear Curve Fitting

GlobalSearch...



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...



Fuzzy control algorithm is used to control a three degree of freedom PUMA560 robot.

The robot dynamics are taken from:
Brian Armstrong, Oussama Khatib & Joel Burdick , d-deDUThe Explicit Dynamic Model and Inertial Parameters...



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...



Schwarz, Shoelson & Amphlett, Retailers Of Fine MATLAB Cloth Since 1987, proudly announce another piece of visionary software:

FPAT - A Fuzzy Pattern Detector

Did you ever listen to a toddler talk?
Easily your brain...



MATLAB routines for the following Adaptive Resonance Theory Algorithms: Art1, Artmap, Fuzzy Art, Fuzzy Artmap. These routines are described and their usage explained in Appendix A of the book "Adaptive Resonance Theory Microchips",...



Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information. However, there is a clear significant lack for a Matlab implementation of these concepts. Based on numerous requests from students and researchers, I...



Genetic algorithm written in Matlab.



GACPP is a c++ library which has implemented all the functions provided in Genetic Algorithms toolkit in Matlab v2008,



FLCPP is a c++ library which has implemented all the functions provided by Fuzzy Logic toolkit in Matlab v2008,it is convinient for you to use it to develop your programs with fuzzy logic algorithms



This code, when passed a MATLAB structure, will recursively go into it and print out the form of the struct.



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...