Hi.

On Fri, 18 Mar 2016 16:12:11 +0300, Семенов Кирилл wrote:

In effect, some time ago we evoked the possibility to drop GA support
altogether since the code seemed little used and a lot of work was
anticipated for making it useful beyond demo applications.


It is rather surprising, that ASF doesn't have any complex and extensive AI instruments. I was looking for ANN some time ago and found only Mahout,
which seemed rather idle.

Projects depend on people that want to create and expand them.
In Commons Math, there is the "o.a.c.m.ml.neuralnet" package, but it only provides the "Self-Organizing Feature Map" network and learning algorithm.

But Commons projects, IMO, are a good place for GA,

Certainly; but the point of discussion is whether we have sufficient
human resources to "compete" with other, already existing, packages.

Are there features missing in the software referred to by Thomas, which
would compel you to start a major enhancement of the code in CM?

If you still want to improve the CM "o.a.c.m.genetics" package, you are of
course free to do so.
But I fear there might be an issue of timely update of the repository if no committer is convinced that the intermediate changes do bring more value
than the effort needed to integrate them.
What I mean is that you might need to do the whole refactoring before
being able to show the net improvement.
Perhaps others here will have another opinion...

while there is no
activity on AI merging/separating.

I don't understand that sentence.

but lacking human resources
it's unlikely to become a reality any time soon.


You can always point to lacking features by opening JIRA reports, but
unless
you intend to work on them yourself, I wouldn't bet on having them fixed
rapidly.


If someone would want to start a large overhaul of the GA code, that is
worth considering.


There surely can be a big scope. Btw, I'm still a student (last year of
BS).
So, I can do things listed and some more as a GSoC project (I was planning
to participate anyway).

https://docs.google.com/document/d/1RT_zNfBdf8rX2p5Qo0bIQ28SqwWUVPwfKmjStwK8SCw/edit#
- I wrote my vision and ready to refine it,
if you care to comment.

It's really a nice offer.
The multi-threading feature is quite important, since it good help in making
Commons Math more attractive.
But that is a general remark, and a (relatively) recent discussion was about how to make CM codes ready for parallel execution. E.g. should parallelism be implemented within CM, or should it be handle by a more general framework
(that would require *thread-safe* CM classes)?

Anyway, it would nice if you could work on CM in order to clarify the issue:
which algorithms need which approach, etc.

I find it strange, that ASF list for GSoC doesn't include any Commons
projects or widely known (Cassandram Solr, Kafka, etc.) Is it even possible
to participate on behalf of Commons Math this year?

Good question. [To which I personally cannot answer.]

Since Commons Math is (still) a part of the "Commons" project, I'd suggest that you send a message to this list with "[ALL]" as a prefix subject, in
the hope that it will attract attention from more knowledgeable people.

Do you mean using an existing library, or do you suggest implementing the
functionality specifically for CM?

I'm not sure, which way is preferred. There is Commons Pool, that can
become a dependency, but is it okay to get any dependencies beside Junit?

The issues of dependencies is sensitive...
[Junit is only a dependency for running the tests, not for using the library.]

And implementing It would definitely enlarge codebase. Which is less of two
evils?

An interesting point.

A related discussion was about modularizing the CM code. It's clear that GA could be developed in its own "module". Thus that module could (and should,
probably) reuse external tools rather than reimplement them.
But the decision to add such dependencies would not affect other modules
where dependencies are less desirable.


Best regards,
Gilles




2016-03-17 21:35 GMT+03:00 Gilles <gil...@harfang.homelinux.org>:

Hello.

On Thu, 17 Mar 2016 19:11:16 +0300, Семенов Кирилл wrote:

Hi,

I've been using genetic algorithm for some pet projects. And I'd like to
shed some light on a number of topics.


Thanks for you interest.

Given that there exist Java softwares that seem to provide a more complete
features set, I'd be interested to know a user's opinion on how the
CM implementation compares with those.
In effect, some time ago we evoked the possibility to drop GA support
altogether since the code seemed little used and a lot of work was
anticipated for making it useful beyond demo applications.

1. Am I correct to think, that now GA is working in a single thread?


Certainly.

Very few CM codes are multi-thread ready.  It was one of the task to
be tackled for future versions of the library, but lacking human resources
it's unlikely to become a reality any time soon.

In
such case, was there any discussions on the subject (I didn't find within
a
quick check of Jira).


There were discussions (cf. "dev" ML archive).

If not, could you provide some API reference. The
subject is important, because the ability to be distributed is one of the
key features of the GA.

2. Was there talks about implementing Pool for chromosomes? I found
enhancement proposal https://issues.apache.org/jira/browse/MATH-1219 - which is aimed to solve the same problem - creating an enormous amount of chromosomes in each generation. Chromosomes after each generation hangs in a heap waiting for GC. Also, object pool can be implemented, supposing
that
chromosome would consist of List<? extends PooledObject>.


If someone would want to start a large overhaul of the GA code, that is
worth considering.
Do you mean using an existing library, or do you suggest implementing the
functionality specifically for CM?

3. Examples of using getRepresentation method of AbstractListChromosome
seem misleading. Because getRepresentation  is protected method and
writing
classes that implement MutationPolicy/CrossoverPolicy can't use it. For rapid development one could implement public overriding method, but can't it be defined public in AbstractListChromosome? If one is to write some
particular policy, he must override getRepresentation method in
CustomChromosome. But if one wants to write some common genetic policy (e.g., some reordering crossover), he would face an obstacle mentioned.

I'd like to create tasks for those in Jira. Just want to make sure, that
these topics would be useful and gather some information, other
devepoler's
opinions on a matter.


You can always point to lacking features by opening JIRA reports, but
unless
you intend to work on them yourself, I wouldn't bet on having them fixed
rapidly.


Best regards,
Gilles


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