gaussmut {adana} | R Documentation |
Gauss Mutation
Description
Gauss Mutation is an operator made by adding randomly selected values from a normal distribution with a mean of 0 and a standard deviation of sigma to a randomly selected gene in the chromosome (Michalewicz, 1995; Back et.al., 1991; Fogel, 1995).
This operator is used for value encoded (integer or real number) chromosomes.
Usage
gaussmut(y, mutsdy, ...)
Arguments
y |
A vector. Chromosome of the offspring |
mutsdy |
A vector. Vector of standard deviations of genes |
... |
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
References
Michalewicz, Z. (1995). Genetic algorithms, numerical optimizations and constraints. In Proc. of the 6th. Int. Conf. on Genetic Algorithms, pp. 151-158. Morgan Kaufmann.
Back, T., Hoffmeister, F. and Schwefel, H.F. (1991). A survey of elolution strategies. In Proc. of the 4th. Int. Conf. on Genetic Algorithms (eds. R.K. Belew and L.B. Booker), pp. 2-9. Morgan Kaufmann.
Fogel D.B. (1995). Evolutionary computation. Toward a new philosophy of machine intellegence. Piscataway, NJ: IEEE Press.
See Also
mutate
,
bitmut
,
randmut
,
randmut2
,
randmut3
,
randmut4
,
unimut
,
boundmut
,
nunimut
,
nunimut2
,
powmut
,
powmut2
,
gaussmut2
,
gaussmut3
,
bsearchmut1
,
bsearchmut2
,
swapmut
,
invmut
,
shufmut
,
insmut
,
dismut
,
invswapmut
,
insswapmut
,
invdismut
Examples
mutsdy = c(1, 1.5, 1.01, 0.4, 1.5, 1.2)
offspring = c(8, 6, 4, 1, 3, 7)
set.seed(12)
gaussmut(offspring)