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