nunimut: Non-uniform Mutation

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

Non-uniform Mutation

Description

The nunimut operator is a mutation operator that adjusts for generations by reducing the mutation severity according to genetic progression (Michalewicz, 1994).

This operator is used for value encoded (integer or real number) chromosomes.

Usage

nunimut(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

References

Michalewicz, . (1994).

See Also

mutate, bitmut, randmut, randmut2, randmut3, randmut4, unimut, boundmut, nunimut2, 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)
nunimut(offspring, lb=lb, ub=ub, g=1, gmax=100, mutb=0.5)
set.seed(12)
nunimut(offspring, lb=lb, ub=ub, g=50, gmax=100, mutb=0.5)

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