January 2016


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"BARI, ATM GOLAM" <[log in to unmask]>
Reply To:
ECJ Evolutionary Computation Toolkit <[log in to unmask]>
Sun, 3 Jan 2016 14:07:06 -0500
text/plain (1584 bytes) , text/html (3021 bytes)
Got it : that means, whatever concept I use, it works as  fitness for
selection algorithm?
Thanks a lot.

On Sun, Jan 3, 2016 at 2:02 PM, Sean Luke <[log in to unmask]> wrote:

> Ranking is an nsga2 concept.  I suggest you read up on it in Essentials of
> Metaheuristics.
> On Jan 3, 2016 12:35 PM, "BARI, ATM GOLAM" <[log in to unmask]> wrote:
> Thanks Sean.
> I forgot to change fitness class name in the parameter. It works by
> changing the appropriate name. I am subclassing
> and xyz is the child class. Thanks again.
> BTW, I had a second asking on ranking vs fitness also. Would you please
> clarify the concept.
> -Bari
> On Sun, Jan 3, 2016 at 12:34 AM, Sean Luke <[log in to unmask]> wrote:
> On Jan 2, 2016, at 11:20 PM, Atm Golam Bari <[log in to unmask]> wrote:
> >>> I am using  and
> 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?
> Sound like your fitness object can't be cast to an xyz.  This implies that
> it's probably still an NSGA2MultiobjectiveFitness.  Did you change what the
> fitness class was in your parameter file?
> Why are you renaming  This is highly
> nonstandard and seems like something that's going to cause a whole heap of
> problems.  Why not just subclass it?
> Sean