Genetic Similarity Theory

This is a set of functions written to teach the stream programming base theory. I think that this can be useful to the programmers that don't know what the stream programing is and manage signals or (infinite) sequences of entities.

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,...

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


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

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

Written for undergraduate and graduate-level courses in control theory, this introductory text provides comprehensive coverage of classical and state-space approaches to control system design.


Platforms: Matlab

This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1458.jsp.


Platforms: Matlab

This function is a simple but flexible and usefull tool to implement genetic optimization algorithms that work with populations of custom units. This tool allows to customize the fitness function, the stopping criteria and the cross-over and mutation operators. This is a simple tool, written in...


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

In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal for a shorter, known feature. It also has...


Platforms: Matlab

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", Kluwer Academic Publishers, ISBN 0-7923-8231-5. Chapter 1 of the...


Platforms: Matlab

Written in Chinese, this book presents the theory of control systems with the aid of MATLAB.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1743.jsp.


Platforms: Matlab

This book represents a modern and thorough treatment of classical control theory and application concepts.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1292.jsp.


Platforms: Matlab

Three case studies: random matrix theory for estimation vs. cross-sectional model for attribution; hedging based on full-repricing instead of Black-Scholes deltas; heuristcs for best K attribution/hedging factors out NTo walk through the code and for a thorough description, seeMeucci A., "Factors...


Platforms: Matlab

Using the Double Group Formulation of k.p Theory, one may return full zone bulk band diagrams for SiGe alloys. Second order degenerate perturbation theory returns effective mass Hamiltonians and canonical transformations may return arbitrary oriented growth directions.This all inclusive code will...


Platforms: Matlab

The user is presented with the near-optimal solution and performance chart in a dialog window.


Platforms: Matlab

The user has to supply the fixed ending points before the script can be ran.


Platforms: Matlab

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 travels to...


Platforms: Matlab

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...


Platforms: Matlab