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Mutation operator for binary genetic algorithms

Source: R/ga.cores.R
ga.mutation.Rd

Mutate a binary population by flipping bits with probability pmut.

Usage

ga.mutation(children.cross, pmut)

Arguments

children.cross

Numeric matrix containing the child population. Rows are individuals and columns are bits. Values are expected to be 0/1.

pmut

Single numeric value in \([0, 1]\) giving the per-bit mutation probability.

Value

Numeric matrix containing the mutated population.

Details

Mutation is applied independently to each bit (gene). For each position, a Bernoulli trial with success probability pmut determines whether the bit is flipped (0 becomes 1, 1 becomes 0).

Author

Zhonghui Huang

Examples

children.cross <- matrix(sample(0:1, 120, replace = TRUE), nrow = 10)
ga.mutation(children.cross, pmut = 0.1)
#>       [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
#>  [1,]    0    1    1    0    0    0    1    1    1     1     0     1
#>  [2,]    1    1    1    0    1    0    0    0    1     0     1     1
#>  [3,]    1    0    0    1    0    0    0    0    0     0     1     1
#>  [4,]    1    1    0    1    1    1    1    0    1     0     1     0
#>  [5,]    1    1    1    1    0    0    1    1    0     0     0     0
#>  [6,]    1    1    1    1    1    0    0    0    1     1     0     1
#>  [7,]    0    0    1    1    1    0    1    0    0     0     1     0
#>  [8,]    0    1    0    0    1    1    0    1    1     1     1     0
#>  [9,]    1    1    1    1    1    1    1    1    0     1     1     1
#> [10,]    1    1    1    1    1    1    0    0    1     1     0     0