Genetic Algorithms

C Algorithms Library is a collection of commonly used Computer Science algorithms. The focus is on code that is well documented and tested, portable, and reusable. The C Programming Language has a much smaller standard library compared to other more modern programming languages such as Java... Platforms: *nix

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network. Platforms: Windows, Mac, Linux

This script implements the three standard relational join algorithms: nested loops join, hash join, and merge join, using the iterator algebra support in Python.This script also presents code that can be used for inner join, left outer join, full outer join, and semijoins. The nested loops join... Platforms: Windows, Mac, *nix, Python, BSD Solaris

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

Companion software for the Direct Adaptive Control Algorithms: Theory and Applications, 2e book by Howard Kaufman, Itzhak Barkana & Kenneth Sobel Platforms: Matlab

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. Platforms: Matlab

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 as either a reference book for researchers and... Platforms: Matlab

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version... 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

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

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

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 aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools. Platforms: Windows, Mac, Linux

GeneThello (read jə-ˈne-ˈthe-lō), is an acronym for genetic othello, an othello (reversi) playing program which based on Genetic Algorithm (GA). In principle GeneThello consist of an othello program and a genetic algorithm system. Platforms: Windows, Mac, Linux

GrALoG is a tool for editing and visualising graph-like-structures and the results of algorithms running on them. Through it's plugins GrALoG is hugely extendable, i.e. plugin-developers can define their own graph-like structures and algorithms. Platforms: Windows, Mac, Linux

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

jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem. Platforms: Windows, Mac, Linux

A library of algorithms for general purpose use to alter representations of 3D meshes. Currently tested in the GNU/Linux and Win32 environments. C++ STL, OpenGL, GLUT, VRML97. Platforms: Windows, Mac, Linux

The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net. Platforms: Windows, Mac, Linux

The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python. Platforms: Windows, Mac, Linux