DEAP framework - mutGaussian using per gene statistics
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I have an individual with the following genes:
genes = [8, 2, 300, 2, 25, 10, -64, -61]
and I then apply the following gaussian mutation:
toolbox.register("mutate", tools.mutGaussian, mu=0, sigma=1, indpb=1)
toolbox.mutate(genes)
to produce the new genes:
[9, 4, 301, 2, 24, 9, -65, -60]
My problem with this mutation is that the gaussian stats for this individual seem to be determined using all of genes instead of for each gene...while a +/- 2 mutation to most of the genes is fine, the value that started at 300 should change more dramatically.
It's strange to me that there's no accounting for this need in the docs.
Is there no in-built mechanism for mutating individuals using the per-gene statistics?
I'm supposing that a distribution is formed for each individual in the population using all of its genes. What I want is for a distribution to be formed for each gene using all the individuals in the population.
mutation deap
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up vote
0
down vote
favorite
I have an individual with the following genes:
genes = [8, 2, 300, 2, 25, 10, -64, -61]
and I then apply the following gaussian mutation:
toolbox.register("mutate", tools.mutGaussian, mu=0, sigma=1, indpb=1)
toolbox.mutate(genes)
to produce the new genes:
[9, 4, 301, 2, 24, 9, -65, -60]
My problem with this mutation is that the gaussian stats for this individual seem to be determined using all of genes instead of for each gene...while a +/- 2 mutation to most of the genes is fine, the value that started at 300 should change more dramatically.
It's strange to me that there's no accounting for this need in the docs.
Is there no in-built mechanism for mutating individuals using the per-gene statistics?
I'm supposing that a distribution is formed for each individual in the population using all of its genes. What I want is for a distribution to be formed for each gene using all the individuals in the population.
mutation deap
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have an individual with the following genes:
genes = [8, 2, 300, 2, 25, 10, -64, -61]
and I then apply the following gaussian mutation:
toolbox.register("mutate", tools.mutGaussian, mu=0, sigma=1, indpb=1)
toolbox.mutate(genes)
to produce the new genes:
[9, 4, 301, 2, 24, 9, -65, -60]
My problem with this mutation is that the gaussian stats for this individual seem to be determined using all of genes instead of for each gene...while a +/- 2 mutation to most of the genes is fine, the value that started at 300 should change more dramatically.
It's strange to me that there's no accounting for this need in the docs.
Is there no in-built mechanism for mutating individuals using the per-gene statistics?
I'm supposing that a distribution is formed for each individual in the population using all of its genes. What I want is for a distribution to be formed for each gene using all the individuals in the population.
mutation deap
I have an individual with the following genes:
genes = [8, 2, 300, 2, 25, 10, -64, -61]
and I then apply the following gaussian mutation:
toolbox.register("mutate", tools.mutGaussian, mu=0, sigma=1, indpb=1)
toolbox.mutate(genes)
to produce the new genes:
[9, 4, 301, 2, 24, 9, -65, -60]
My problem with this mutation is that the gaussian stats for this individual seem to be determined using all of genes instead of for each gene...while a +/- 2 mutation to most of the genes is fine, the value that started at 300 should change more dramatically.
It's strange to me that there's no accounting for this need in the docs.
Is there no in-built mechanism for mutating individuals using the per-gene statistics?
I'm supposing that a distribution is formed for each individual in the population using all of its genes. What I want is for a distribution to be formed for each gene using all the individuals in the population.
mutation deap
mutation deap
edited Nov 9 at 0:49
asked Nov 9 at 0:44
aweeeezy
3181311
3181311
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