crossover: Crossover of Chromosomes in Genetic Algorithm
In slwu89/GA: Genetic Algorithm-based Variable Selection for Generalized Linear Models
Description
Crossover is used in genetic algorithms for optimization when two parent chromosomes recombine to produce a child chromosome for the following generation.
Crossover randomly picks a location on the chrosome to split the genetic alleles of both parents and then recombines the segments of genes to produce a new chromosome.
Usage
1
Arguments
pop
a nested list represented the parent population of models or chromosomes
P_combn
a list of all unique pairwise combinations of chromosome index (see combn)
C
a value representing chromosome size (number of 'alleles'). Should be of class integer, corresponding to the number of columns of input matrix x.
slwu89/GA documentation built on May 14, 2019, 5:20 p.m.
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Description
Crossover is used in genetic algorithms for optimization when two parent chromosomes recombine to produce a child chromosome for the following generation. Crossover randomly picks a location on the chrosome to split the genetic alleles of both parents and then recombines the segments of genes to produce a new chromosome.
Usage
1 |
Arguments
pop |
a nested list represented the parent population of models or chromosomes |
P_combn |
a list of all unique pairwise combinations of chromosome index (see |
C |
a value representing chromosome size (number of 'alleles'). Should be of class integer, corresponding to the number of columns of input matrix x. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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