Nothing
#' Giunta Function
#'
#' Multimodal test function based on the definition
#' \deqn{f(\mathbf{x}) = 0.6 + \sum_{i = 1}^{n} \left[\sin(\frac{16}{15} \mathbf{x}_i - 1) + \sin^2(\frac{16}{15}\mathbf{x}_i - 1) + \frac{1}{50} \sin(4(\frac{16}{15}\mathbf{x}_i - 1))\right]}
#' with box-constraints \eqn{\mathbf{x}_i \in [-1, 1]} for \eqn{i = 1, \ldots, n}.
#'
#' @references S. K. Mishra, Global Optimization By Differential Evolution and
#' Particle Swarm Methods: Evaluation On Some Benchmark Functions, Munich
#' Research Papers in Economics.
#'
#' @template ret_smoof_single
#' @export
#FIXME: this function is scalable, but global opt only known for 2D?
makeGiuntaFunction = function() {
makeSingleObjectiveFunction(
name = "Giunta Function",
id = "giunta_2d",
fn = function(x) {
assertNumeric(x, len = 2L, any.missing = FALSE, all.missing = FALSE)
a = 1.067 * x - 1
b = sin(a)
0.6 + sum(b + b^2 + 0.02 * sin(4 * a))
},
par.set = makeNumericParamSet(
len = 2L,
id = "x",
lower = rep(-1, 2),
upper = rep(1, 2),
vector = TRUE
),
tags = attr(makeGiuntaFunction, "tags"),
global.opt.params = c(0.4673200277395354, 0.4673200169591304),
global.opt.value = 0.06447042053690566
)
}
class(makeGiuntaFunction) = c("function", "smoof_generator")
attr(makeGiuntaFunction, "name") = c("Giunta")
attr(makeGiuntaFunction, "type") = c("single-objective")
attr(makeGiuntaFunction, "tags") = c("single-objective", "continuous", "differentiable", "separable", "multimodal")
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.