Nothing
proposePointsParEGO = function(opt.state) {
weight.mat = attr(getOptStateTasks(opt.state), "weight.mat")
models = getOptStateModels(opt.state)$models
designs = getOptStateDesigns(opt.state)
# copy control and propose 1 point each, per scalar task
control2 = getOptProblemControl(getOptStateOptProblem(opt.state));
control2$propose.points = 1L
control2$n.objectives = 1L
# scalar tasks are always constructed so they minimized
control2$minimize = TRUE
control2$multiobj.use.scalarized.y = TRUE
control2$y.name = "y.scalar"
props = list()
props = parallelMap(proposePointsByInfillOptimization, models = models, designs = designs, level = "mlrMBO.propose.points",
more.args = list(opt.state = opt.state, control = control2))
res = joinProposedPoints(props)
res$crit.components = NULL
res$weight.mat = weight.mat
return(res)
}
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