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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 380.15 K to 580.15 K.

Generic class for genetic algorithms, making it possible to evolve any class.

This script executes some basic calculations from the following article.

Leonard AC, Franson SE, Hertzberg VS, Smith MK & Toth GP (1999) Hypothesis testing with the similarity index. Molecular Ecology 8: 2105-2114.


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...

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) compiles various population-based global optimization schemes.

It handles both single- and multi-objective optimization, simply by adding additional...

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve...

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...

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...

Please see PORTOPTGADS, by following link 'Published m-files' below.

PS. The cool picture is a visualization of Rastrigin's function, taken from Genetic Algorithm and Direct Search Toolbox documentation.

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...

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

Optimisation for 4 variables using Genetic technique. Was designed to optimise surface impedance measurements

Directed Programming is a cross between Grammatical Evolution and Genetic Programming (solving some of their problems while it's at it). Both techniques including hybrids of the two can be created w/ DRP. Pure Ruby and Very VERY easy to use.

dbSNPtool starts a GUI to return polymorphism data from dbSNP

Calling dbsnptool start the GUI, SNP % records are returned based on
keyword. Each result is presented in a % listbox, clicking on the...

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...

A Ruby Genetic Algorithm. So simple to use: 1, take a class to evolve it and define fitness, recombine and mutate methods. 2, create a GeneticAlgorithm object with the population. 3, call evolve method as many times as you want

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

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

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...

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