these folks and see if they can
help you get a leg up.
Best,
Simon
-Original Message-
From: Ted Dunning [mailto:ted.dunn...@gmail.com]
Sent: 13 January 2014 18:00
To: user@mahout.apache.org
Subject: Re: travelling salesman on Mahout
On Mon, Jan 13, 2014 at 8:42 AM, Pavan K Narayanan
On Mon, Jan 13, 2014 at 8:42 AM, Pavan K Narayanan
pavan.naraya...@gmail.com wrote:
Please may I ask why TSP has been removed from Mahout.
It was the Genetic Algorithms that were removed.
The implementation was unmaintained and not scalable and thus not
appropriate for Mahout.
Its just
Thanks Ted for your response. Any use cases where the evolutionary
algorithm used apart from tsp ? I got to know about a mahout
cookbook that has a receipe walkthrough on implementing TSP on
mahout. The book is not released in my country yet, but I would like
to find out:
which version of Mahout
I haven't seen that part of the cookbook yet either. But the package that
it depends on has been removed from Mahout.
Evolutionary algorithms will generally be much better implemented on a
framework that supports iteration such as Giraph or Spark. For TSP, the
natural representation would be to
For what it is worth, R has some really nice interfaces for the standard
TSP solvers and several sample data sets. That can really help you in your
testing.
See http://cran.r-project.org/web/packages/TSP/vignettes/TSP.pdf
On Sun, Jan 12, 2014 at 1:20 AM, Pavan K Narayanan
TSP is generally solved using a number of heuristics guiding a randomized
search. Mahout has essentially no provision for helping with this.
If you want a quick and dirty solution, I would recommend something like an
evolutionary algorithm in which you have segments that self-assemble or
split
