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From Dmitriy Setrakyan <dsetrak...@apache.org>
Subject Re: GA Grid: Request to contribute GA library to Apache Ignite
Date Thu, 02 Nov 2017 01:12:42 GMT
Hi Turik,

Is my understanding correct that GA Grid is a vertical component for
genetic algorithms? So far Ignite has been a horizontal product without any
vertical functionality. I personally would like to keep it this way (other
community members should chime in here).

I personally think it is great that GA Grid gets a lot of mention on Apache
Ignite website and has been a valuable integration for the Ignite community.

If you would like to join Apache, have you considered a separate Apache
project? This may help you build a community around your work and benefit
from the established Apache processes during incubation.


On Wed, Nov 1, 2017 at 5:26 PM, techbysample <turik@netmille.com> wrote:

> Igniters,
> GA Grid (Beta) is an in memory Genetic Algorithm (GA) for Apache Ignite
> used
> to solve complex problems by simulating biological evolution.
> GA's are a form of Machine Learning (ML), excellent for finding an optimal
> solution, among possibly thousands (or more) candidate solutions for a
> given
> domain.
> GA Grid was developed by NetMillennium Inc, Inc outside of Apache Ignite
> platform as a proof of concept to determine feasibility in the GA space.
> In GA Grid, all genetic operations: Fitness Calculation, Crossover, and
> Mutation  are modeled as a ComputeTask for distributive behavior.  Also,
> these ComputeTasks leverage Apache Ignite's Affinity Colocation to route
> ComputeJobs to respective nodes where Chromosomes are stored in cache.
> After it's initial release, Denis Magda inquired about the possibility of
> donating GA Grid to Apache Ignite. Per discussions with Denis, he believed
> GA Grid would be well suited as an extension to Apache Ignite's ML library.
> Currently, NetMillennium, Inc. has agreed to begin the process of donating
> GA Grid to Apache Ignite.
> With it's latest release, GA Grid enhances knowledge discovery by providing
> custom SQL functions to 'pivot' genetic optimization results. This enables
> improved visualizations inside Apache Zeppelin.
> To learn more about GA Grid please visit:
> https://github.com/techbysample/gagrid
> Check out my recent post on how GA Grid for Ignite integrates with
> Zeppelin:
> https://www.linkedin.com/post/edit/apache-ignite-visualize-
> ga-grid-solutions-deep-turik-campbell
> Please advise.
> Best Regards,
> Turik Campbell
> NetMillennium, Inc.
> --
> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/

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