GeneiAL is an open source extensible genetic algorithm library. It provides a framework to solve optimization problems by maximizing fitness value of the chromosomes in a population over the course of generations using a custom fitness function. The library offers the user high flexibility and extensibility while simultaneously featuring good scalability for the core functionality.

Installation and Documentation

Installation guide: readme.
Additional information on the delivered demos: libGENEIAL - Demos.
Documentation guidelines: libGENEIAL - Documentation Guidelines.
Coding guidelines: coding.
Licence: licence.

Implemented Features

support for user-defined chromosome types (e.g., the optimization of sequences of genes)
generation of new chromosomes using random values within a user-specified interval
generation of new chromosomes by partially/fully reusing population from a previous optimization
multi-threading support for the evaluation of the fitness function
diagnostic tools to analyze the genetic algorithm's behavior (i.e., runtime measurement, analysis of genetic operators, etc.)
extendible by user-specified analysis tools with customized pre- and post-processing logic

Genetic Operators

roulette-wheel selection
N-point crossover, smoothed variant of N-point crossover
uniform mutation, smoothed variant of uniform mutation
extendible by customized genetic operators

Stopping Criteria

basic stopping criteria (fixed-point criterion,maximal number of generations, etc.)
extendible by user-defined stopping criteria
support for a combinations (AND, OR, XOR, Negation) of multiple stopping criteria