#' @title
#' MOP2 function generator.
#'
#' @description
#' MOP2 function from Van Valedhuizen's test suite due to Fonseca and Fleming.
#'
#' @references
#' C. M. Fonseca and P. J. Fleming, "Multi-objective genetic algorithms
#' made easy: Selection, sharing and mating restriction," Genetic Algorithms
#' in Engineering Systems: Innovations and Applications, pp. 45-52, Sep. 1995. IEE.
#'
#' @template arg_dimensions
#' @return [\code{smoof_multi_objective_function}]
#' Returns an instance of the MOP2 function as a \code{smoof_multi_objective_function} object.
#' @export
makeMOP2Function = function(dimensions = 2L) {
checkmate::assertInt(dimensions, lower = 1L)
force(dimensions)
# C implementation
fn = function(x) {
checkNumericInput(x, dimensions)
.Call("mof_MOP2", x)
}
makeMultiObjectiveFunction(
name = "MOP2 function",
id = sprintf("MOP2-%id-%io", dimensions, 2L),
description = "MOP2 function",
fn = fn,
par.set = ParamHelpers::makeNumericParamSet(
len = dimensions,
id = "x",
lower = rep(-4, dimensions),
upper = rep(4, dimensions),
vector = TRUE
),
n.objectives = 2L#,
#ref.point = rep(11, n.objectives)
)
}
class(makeMOP2Function) = c("function", "smoof_generator")
attr(makeMOP2Function, "name") = c("MOP2")
attr(makeMOP2Function, "type") = c("multi-objective")
attr(makeMOP2Function, "tags") = c("multi-objective")
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