ECJ-INTEREST-L Archives

January 2016

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

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

Print Reply
Mime-Version:
1.0
Content-Type:
text/plain; charset="UTF-8"
Date:
Sat, 2 Jan 2016 23:20:20 -0500
Reply-To:
ECJ Evolutionary Computation Toolkit <[log in to unmask]>
Subject:
ClassCastException in MultiobjectiveFitness
Content-Transfer-Encoding:
8bit
Message-ID:
<[log in to unmask]>
Sender:
ECJ Evolutionary Computation Toolkit <[log in to unmask]>
From:
Atm Golam Bari <[log in to unmask]>
Parts/Attachments:
text/plain (11 lines) 
Hi All,

Happy new year !

>>I am using MultiobjectiveFitness.java  and NSGA2MultiobjectiveFitness.java in my own evaluator as is but renaming  NSGA2MultiobjectiveFitness to xyz. When I call assignFrontRanks(Subpopulation subpop) inside the evluator (same as NSGA2Evaluator calls this method), I get ClassCastException Error on the line ((xyz)(((Individual)(front.get(ind))).fitness)).rank = rank; I can't find the reason. Any clue?

>> I understand that xyz/NSGA2MultiobjectiveFitness sets pareto rank of each individuals. Does this rank act as  individual's fitness value while individuals are selected in the bottom of breeding pipeline (note: I am using tournamentselection in param filet)? Or I need to implement custom selection algorithm to act pareto rank as fitness ?

Thanks in advance 
-Bari

ATOM RSS1 RSS2