Project

gimuby

0.01
No commit activity in last 3 years
No release in over 3 years
Implemented for academic purpose, Gimuby is also suitable for teaching purpose. As far as we know this implementation of genetic algorithms is the most advanced available in Ruby for itintegrates an implementation of the island model, reusable patterns for user problem composition and optimal configuration genetic algorithm Gimuby contains the implementation of standard genetic algorithm (named population) and distributed genetic algorithm or island model (named archipelago). The presented archipelago are NOT distributed (nor with threads, processes, or physical machines). However they let the user benefits ofthe leverage they represent to obtain a better solution with the same amount of resources spent. Similar to: AI4R, gga4r and darwinning
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
 Dependencies
 Project Readme