ECJ-INTEREST-L Archives

September 2008

ECJ-INTEREST-L@LISTSERV.GMU.EDU

Options: Use Monospaced Font
Show Text 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:
From:
Andrew Wagner <[log in to unmask]>
Reply To:
ECJ Evolutionary Computation Toolkit <[log in to unmask]>
Date:
Mon, 1 Sep 2008 12:36:08 -0400
Content-Type:
text/plain
Parts/Attachments:
text/plain (22 lines)
I'm trying to figure out how to use ec.coevolve.CompetitiveEvaluator.
I looked at the included coevolve1 problem. Running it, produces a
stat file with some strange results. The end of it says:

Generation: 99
Best Individual:
Evaluated: T
Fitness: 5.0
 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Best Individual of Run:
Evaluated: T
Fitness: 5.0
 1 0 0 0 1 1 1 0 1 1 1 1 0 0 1 1 0 1 1 1 0 0 1 1 0 1 1 0 1 0 1 0 1 1 1
1 0 1 1 0 0 0 1 1 1 1 0 0 1 1


This makes no sense to me. The best individual of the last generation
is better than the best individual of the run (has more 1s), but has
the same fitness. What gives?

ATOM RSS1 RSS2