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