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