Genetic Similarity Theory

LGV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how many times you want to

FREE Lite Version of LGV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m

In this 3rd tutorial in our series on Music Theory, Master Arranger and Composer Gregg Fine explores the nature of Rhythm and why it’s the driving force in music and composition... Rhythm is at the very essence of being. Our hearts beat. We walk and


Platforms: Mac

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Platforms: Mac

FREE Lite Version of PCV Theory Test (UK) uses the Latest Official DSA highway code revision question data bank in an intuitive, powerful way and is one of the most flexible applications on the market. REVISE MULTIPLE TOPICS at the same time! CHOOSE how m


Platforms: Mac

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...


Platforms: Matlab

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

Intended for an introductory course in control systems and for the practicing engineer, the goal of this book is to present a unified treatment of conventional and modern continuous control systems, and to show how to apply the theory presented to realistic design problems.For a full book...


Platforms: Matlab

This book is designed for an advanced course and is a companion volume to the introductory text, Modern Control System Theory and Design, 2e. In addition, it can serve as a text for practicing control system engineers who need to learn more advanced control systems techniques in order to perform...


Platforms: Matlab

This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robotarm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximumpre-defined torque, without collision with any...


Platforms: Matlab

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...


Platforms: Matlab

We use the genetic algorithm (gatool) to determine the three parameters of the simple Antoine equation and the six parameters of the Modified Antoine Model. Predictions are in perfect agreement with experimental data of vapor pressure of ethanol versus temperature for a temperature range from...


Platforms: Matlab

Functions for Information theory, such as entropy, mutual information, KL divergence, etcThis toolbox contains functions for discrete random variables to compute following quantities:1)Entropy2)Joint entropy3)Conditional entropy4)Relative entropy (KL divergence)5)Mutual information6)Normalized...


Platforms: Matlab

Computing the main parameters of a Water wave, using the small amplitude wave theory.Inputs: d = water deep (m) H = wave height (m) T = wave period (s) z = depth below the SWL (m) anitime = time animation (s)Outputs: k = wave number sigma = Frecuency L = wave length C = wave phase velocity Cg =...


Platforms: Matlab

Function calculates cosine cross-similarity between time series of threshold crossings with time lags. It also calculates dominant lag and maximum value.More detailshttp://www.ida.liu.se/~agbur/Software.htm


Platforms: Matlab

The script allows to easily fit predefined complex analytical laws exploiting the potentiality of Genetic Algorithms.The script receives as input the handle to the analytic laws to be fitted to data. Such law may depend on multiple variables and several parameters. This optimization approach may...


Platforms: Matlab

Function calculates window cross-similarity between time series of threshold crossings for selected window span. Correlation between high temporal resolution records aggregated over time for records of original resolution.More informationhttp://www.ida.liu.se/~agbur/Software.htm


Platforms: Matlab

These files are an adaptation of the ANOVA variance component estimators to be used in the analysis of genetic data, specifically Cockerham's 1969 Theta. Formulae were adapted from Sokal and Rohlf's 1995 Biometry, and test files from the book are given as reference.


Platforms: Matlab

Extended compact genetic algorithm (ECGA) is an algorithm that can solve hard problemsin the binary domain. ECGA is reliable and accurate because of the capability ofdetecting building blocks, but certain difficulties are encountered when we directly applyECGA to problems in the integer domain....


Platforms: Matlab

This particular hybrid genetic optimizer is referenced from: J Hu "Radio Frequency Front-End Measurement and Modeling," Ph.D. dissertation, North Carolina State University, Raleigh NC, 2011.It's used in fitting a RF power amplifier model to measured data and extracting the model parameters.


Platforms: Matlab