ga_pmutation {GA} | R Documentation |
Variable mutation probability in genetic algorithms
Description
A function which calculates the mutation probability for the current iteration. This enables to use GAs with variable mutation rate (see examples).
Usage
ga_pmutation(object, p0 = 0.5, p = 0.01, T = round(object@maxiter/2), ...)
Arguments
object |
An object of class |
p0 |
initial probability of mutation. |
p |
limiting probability of mutation. |
T |
maximum iteration after which it should converges to |
... |
Further arguments passed to or from other methods. |
Value
Return a numeric value in the range (0,1).
Author(s)
Luca Scrucca
See Also
Examples
## Not run:
Rastrigin <- function(x1, x2)
{
20 + x1^2 + x2^2 - 10*(cos(2*pi*x1) + cos(2*pi*x2))
}
GA <- ga(type = "real-valued",
fitness = function(x) -Rastrigin(x[1], x[2]),
lower = c(-5.12, -5.12), upper = c(5.12, 5.12),
popSize = 50, maxiter = 500, run = 100,
pmutation = ga_pmutation)
plot(GA)
GA <- ga(type = "real-valued",
fitness = function(x) -Rastrigin(x[1], x[2]),
lower = c(-5.12, -5.12), upper = c(5.12, 5.12),
popSize = 50, maxiter = 500, run = 100,
pmutation = function(...) ga_pmutation(..., p0 = 0.1))
plot(GA)
## End(Not run)
[Package GA version 3.2.4 Index]