ECJ-INTEREST-L Archives

July 2013

ECJ-INTEREST-L@LISTSERV.GMU.EDU
Options: Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
Meta-EA FTW in ECJ?
From:
David vun Kannon <[log in to unmask]>
Reply To:
ECJ Evolutionary Computation Toolkit <[log in to unmask]>
Date:
Mon, 22 Jul 2013 15:46:21 -0400
Content-Type:
multipart/alternative
Parts/Attachments:
text/plain (600 bytes) , text/html (887 bytes) 
Hi Sean,
Last week I had a quick read of your GECCO 2013 paper on using Meta-EA to directly find the optimum, instead of finding good parameters (what I'm calling Meta-EA For The Win). My first thought about how to do this in ECJ is to just make a set of subpopulations, each with a different set of parameter settings. Is that on the right track? But that seems wasteful of evaluations, so I was wondering if there is some way to control which subpopulation runs more often - as a way to allocate trials.
Excellent paper, a lot of food for thought!
Cheers,David vun Kannon

ATOM RSS1 RSS2