Nailed it. You're missing
pop.subpop.0.species.max-gene.0 = ... (whatever you want) ...
This is tickling a bug in IntegerVectorSpecies. The old version of
IntegerVectorSpecies checked for max gene #0 to determine if it
should be doing per-gene min/max. The new version doesn't do this,
but some code in ECJ still makes this assumption. It's something
that wasn't fully cleaned out.
Try setting max-gene 0 to something, and that may work fine. In the
mean time, we need to fix it.
Sean
On Dec 6, 2007, at 7:05 PM, Bradford N Barr wrote:
> It isn't printing anything. I flushed the output, and even
> bracketed the else so it would include the print line, but still
> nothing.
>
> Brad
>
> Sean Luke wrote:
>> Okay, so we're using individual genes. This leaves only a few
>> possibilities:
>>
>> 1. Crossover is putting genes in the wrong places (unlikely).
>> 2. Mutation is mutating genes to bad values (the code looks right).
>> 3. Initialization is setting genes to bad values (again, the code
>> looks right).
>> 4. the maxGene[x] value isn't being set right (most likely).
>>
>> Let's rule out the last one.
>>
>> In IntegerVectorSpecies, search for this line (sorry, email will
>> break this):
>>
>> else maxGenes[x] =
>> state.parameters.getLongWithDefault(base.push(P_MAXGENE).push
>> (""+x),base.push(P_MAXGENE).push(""+x),maxGene);
>>
>>
>> Immediately after it, add the following line:
>>
>> System.out.println("Gene: " + x + " Min: " + minGenes[x] +
>> " Max: " + maxGenes[x]);
>>
>> Recompile the file and re-run, and grep for "Gene". Tell me what
>> you get.
>>
>> Sean
>>
>>
>> On Dec 6, 2007, at 1:28 PM, Bradford N Barr wrote:
>>
>>> It prints "Used? true", along with my other output that tells me
>>> that my gene 5 is out of the bounds I set (it isn't just my 5th
>>> gene either 6 other genes are out of range too).
>>>
>>> Thanks for the response.
>>> Brad
>>>
>>> Sean Luke wrote:
>>>> Rafal Kicinger donated a significant amount of vector min/max
>>>> code in the last iteration. We may have a bug. To start, go to
>>>> InterVectorSpecies.java and modify individualGeneMinMaxUsed() to
>>>> look like this please:
>>>>
>>>> boolean flag = false;
>>>> public final boolean individualGeneMinMaxUsed()
>>>> {
>>>> if (!flag) System.out.println("Used? " + (maxGenes != null) );
>>>> flag = true;
>>>> return (maxGenes!=null);
>>>> }
>>>>
>>>> This should print out (on the Used? line) whether or not we're
>>>> doing per-gene Min-Max. Let me know what the result is.
>>>>
>>>> Sean
>>>>
>>>>
>>>> On Dec 5, 2007, at 12:36 PM, Bradford N Barr wrote:
>>>>
>>>>> Hello all,
>>>>>
>>>>> I've recently begun learning how to use ecj. I can competently
>>>>> use GP, and now I'm playing with some GA's. I'm having an issue
>>>>> with my GA's parameters. I assume it is something simple (like
>>>>> I have got the base wrong or something).
>>>>>
>>>>> I want some of my genes to be of different lengths, for
>>>>> IntegerVectorSpecies the class documentation says I can use
>>>>> base.min-gene.n for this purpose. I'm doing this but my genes
>>>>> are not getting their specific limit, only the overall limit.
>>>>>
>>>>> I'm going to include my params file, its pretty small and
>>>>> straight forward. My gene 5 had a value 94 last run when its
>>>>> limit is 20.
>>>>>
>>>>> Thanks in advance!
>>>>> Brad
>>>>>
>>>>> parent.0 = /usr/share/ecj/ec/simple/simple.params
>>>>>
>>>>> pop.subpop.0.size = 50
>>>>> generations = 100
>>>>>
>>>>> pop.subpop.0.species = ec.vector.IntegerVectorSpecies
>>>>> pop.subpop.0.species.ind = ec.vector.IntegerVectorIndividual
>>>>> pop.subpop.0.species.fitness = ec.simple.SimpleFitness
>>>>>
>>>>> pop.subpop.0.species.genome-size = 14
>>>>> pop.subpop.0.species.crossover-type = two
>>>>> pop.subpop.0.species.crossover-prob = 1.0
>>>>> pop.subpop.0.species.mutation-prob = 0.05
>>>>>
>>>>> pop.subpop.0.species.max-gene = 100
>>>>> # pop.subpop.0.species.min-gene = 0
>>>>>
>>>>> pop.subpop.0.species.min-gene.0 = 0
>>>>> pop.subpop.0.species.max-gene.1 = 100
>>>>> pop.subpop.0.species.min-gene.1 = 0
>>>>> pop.subpop.0.species.max-gene.1 = 100
>>>>> pop.subpop.0.species.min-gene.2 = 0
>>>>> pop.subpop.0.species.max-gene.2 = 100
>>>>> pop.subpop.0.species.min-gene.3 = 0
>>>>> pop.subpop.0.species.min-gene.3 = 100
>>>>> pop.subpop.0.species.min-gene.4 = 0
>>>>> pop.subpop.0.species.max-gene.4 = 100
>>>>> pop.subpop.0.species.min-gene.5 = 1
>>>>> pop.subpop.0.species.max-gene.5 = 20
>>>>> pop.subpop.0.species.min-gene.6 = 1
>>>>> pop.subpop.0.species.max-gene.6 = 20
>>>>> pop.subpop.0.species.min-gene.7 = 1
>>>>> pop.subpop.0.species.max-gene.7 = 20
>>>>> pop.subpop.0.species.min-gene.8 = 1
>>>>> pop.subpop.0.species.max-gene.8 = 20
>>>>> pop.subpop.0.species.min-gene.9 = 0
>>>>> pop.subpop.0.species.max-gene.9 = 10
>>>>> pop.subpop.0.species.min-gene.10 = 1
>>>>> pop.subpop.0.species.max-gene.10 = 20
>>>>> pop.subpop.0.species.min-gene.11 = 1
>>>>> pop.subpop.0.species.max-gene.11 = 20
>>>>> pop.subpop.0.species.min-gene.12 = 0
>>>>> pop.subpop.0.species.max-gene.12 = 100
>>>>> pop.subpop.0.species.min-gene.13 = 0
>>>>> pop.subpop.0.species.max-gene.13 = 100
>>>>> pop.subpop.0.species.min-gene.14 = 0
>>>>> pop.subpop.0.species.max-gene.14 = 100
>>>>> pop.subpop.0.species.min-gene.15 = 0
>>>>> pop.subpop.0.species.max-gene.15 = 100
>>>>> pop.subpop.0.species.min-gene.16 = 0
>>>>> pop.subpop.0.species.max-gene.16 = 100
>>>>> pop.subpop.0.species.min-gene.17 = 0
>>>>> pop.subpop.0.species.max-gene.17 = 100
>>>>> pop.subpop.0.species.min-gene.18 = 0
>>>>> pop.subpop.0.species.max-gene.18 = 100
>>>>> pop.subpop.0.species.min-gene.19 = 0
>>>>> pop.subpop.0.species.max-gene.19 = 100
>>>>>
>>>>> pop.subpop.0.species.pipe = ec.vector.breed.VectorMutationPipeline
>>>>> pop.subpop.0.species.pipe.source.0 =
>>>>> ec.vector.breed.VectorCrossoverPipeline
>>>>> pop.subpop.0.species.pipe.source.0.source.0 =
>>>>> ec.select.TournamentSelection
>>>>> pop.subpop.0.species.pipe.source.0.source.1 =
>>>>> ec.select.TournamentSelection
>>>>>
>>>>> select.tournament.size = 3
>>>>>
>>>>> eval.problem = fa.meta.MetaProblem
|
