Genetic Algorithm

Parallel Genetic Algorithm Library (or PGAL for short) is a C++ toolkit for simply, efficiently, and swiftly producing genetic algorithm code that works across multiple processors. This is useful not only for those with multi-processor computers, but also for distributed and cluster computing...

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.

Genetic Algorithm File Fitter, or just GAFFitter, is a command-line software written in C++ that arranges--via a genetic algorithm--an input list of items or files/directories into volumes of a certain capacity (target), such as CD or DVD, in a way that the total wastage is minimized. By smartly...


Platforms: *nix

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 and manipulation of the data required for serial...


Platforms: C and C plus plus

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 biotic; genetics.


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

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.


Platforms: Windows, Mac, Linux

Springbots is a python application which takes a set of 2d physical structures built with nodes and movable springs and evolve them for specific tasks like walking, swimming and jumping using genetic algorithm.


Platforms: Windows, Mac, Linux

Trilobots is an arcade-style shooter that evolves the abilities and programming of the enemies using a genetic algorithm. The end goal is to make the evolution transparent, allowing users to learn how genetic algorithms work while having fun.


Platforms: Windows, Mac, Linux

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

The algorithm computes the optimal route from a fixed predetermined starting point to all other cities without returning to the starting point. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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

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 place).Each salesman starts at the first point, and...


Platforms: Matlab

The algorithm computes the optimal route from a fixed predetermined starting point to all other cities without returning to the starting point.


Platforms: Matlab

PGAPy is a wrapper for pgapack, the parallel genetic algorithm library, a powerfull genetic algorithm library by D. Levine, Mathematics and Computer Science Division Argonne National Laboratory. The library is written in C. PGAPy wraps this library for use with Python. The original pgapack...


Platforms: *nix

Acovea implements a genetic algorithm for finding the "best" options for compiling programs with the GCC C and C++ compilers. ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the "best" options for compiling programs with the GNU Compiler...


Platforms: *nix

The script 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 and finally to the end location).Each salesman starts at the...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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 place).Each salesman starts at the first point, and...


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

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


Platforms: Matlab