| nunimut2 {adana} | R Documentation |
Adaptive Non-uniform mutation
Description
This operator is an adaptive mutation operator that increases the probability of the mutation severity approaching 0 as the number of generations increases.
This operator is used for value encoded (integer or real number) chromosomes.
Usage
nunimut2(y, lb, ub, g, gmax, mutb, ...)
Arguments
y |
A vector. Chromosome of the offspring |
lb |
A vector. Lower bounds of genes |
ub |
A vector. Upper bounds of genes |
g |
Current generation number. |
gmax |
Maximum generation number. |
mutb |
An exponent parameter that sets non-uniformity |
... |
Further arguments passed to or from other methods. |
Value
mutant |
A vector. Chromosome of the offspring |
mutgen |
The number of the mutated gene. |
Author(s)
Zeynel Cebeci & Erkut Tekeli
See Also
mutate,
bitmut,
randmut,
randmut2,
randmut3,
randmut4,
unimut,
boundmut,
nunimut,
powmut,
powmut2,
gaussmut,
gaussmut2,
gaussmut3,
bsearchmut1,
bsearchmut2,
swapmut,
invmut,
shufmut,
insmut,
dismut,
invswapmut,
insswapmut,
invdismut
Examples
lb = c(2, 1, 3, 1, 0, 4)
ub = c(10, 15, 8, 5, 6, 9)
offspring = c(8, 6, 4, 1, 3, 7)
set.seed(12)
nunimut2(offspring, lb=lb, ub=ub, g=1, gmax=100, mutb=0.5)
set.seed(12)
nunimut2(offspring, lb=lb, ub=ub, g=50, gmax=100, mutb=0.5)