Genetic algorithm framework

Introduction

This component is/will be a framework for solving optimisation problems using genetic algorithms., _(*1)

The idea is you create a random pool of 'genomes'. Your genome class extends Genome and must interpret your bit string into a solution to your problem and calculate a fitness value for the solution. Good solutions are more likely to survive into the next generation., _(*2)

Configurable options are:, _(*3)

Elitism: how many of the fittest genomes survive to the next generation intact.
Mutation rate
Crossover rate
Population size

An indicator of diversity can be calculated to show how much entropy remains in the system. If wanted, the mutation rate could vary to keep the diversity above a certain threshold., _(*4)

TODO

Better test coverage (and remove whatever bugs are still lurking in there)
Some documentation
Optimise list collection class
Other performance optimisations
Add a license

08/12 2013

dev-master

9999999-dev

A framework for implementing genetic algorithms

Sources Download

The Requires

php >=5.4.0
doctrine/collections *

The Development Requires

phpunit/phpunit *

library blue-jeans

A framework for implementing genetic algorithms

contrebis/blue-jeans

The README.md