nunimut2: Adaptive Non-uniform mutation

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

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)

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