gaussmut: Gauss Mutation

In adana: Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization

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)

adana documentation built on March 18, 2022, 6:03 p.m.