CPFs                    Conditional Pareto fronts obtained from
                        Gaussian processes simulations.
HybridGA                Results of Hybrid GA on Vanzyl and Richmond
                        water networks
SPEA2minstoptimeRichmond
                        Results of SPEA2 when minimising electrical
                        cost and maximising the minimum idle time of
                        pumps on Richmond water network.
SPEA2relativeRichmond   Results of SPEA2 with relative time-controlled
                        triggers on Richmond water network.
SPEA2relativeVanzyl     Results of SPEA2 with relative time-controlled
                        triggers on Vanzyl's water network.
as_double_matrix        Convert input to a matrix with '"double"'
                        storage mode ('base::storage.mode()').
attsurf2df              Convert a list of attainment surfaces to a
                        single EAF 'data.frame'.
choose_eafdiff          Interactively choose according to empirical
                        attainment function differences
compute_eaf_call        Same as 'eaf()' but performs no checks and does
                        not transform the input or the output. This
                        function should be used by other packages that
                        want to avoid redundant checks and
                        transformations.
compute_eafdiff_call    Same as 'eafdiff()' but performs no checks and
                        does not transform the input or the output.
                        This function should be used by other packages
                        that want to avoid redundant checks and
                        transformations.
eaf                     Exact computation of the Empirical Attainment
                        Function (EAF)
eaf_as_list             Convert an EAF data frame to a list of data
                        frames, where each element of the list is one
                        attainment surface. The function 'attsurf2df()'
                        can be used to convert the list into a single
                        data frame.
eafdiff                 Compute empirical attainment function
                        differences
epsilon                 Epsilon metric
generate_ndset          Generate a random set of mutually nondominated
                        points
hv_approx               Approximate the hypervolume indicator.
hv_contributions        Hypervolume contribution of a set of points
hypervolume             Hypervolume metric
igd                     Inverted Generational Distance (IGD and IGD+)
                        and Averaged Hausdorff Distance
is_nondominated         Identify, remove and rank dominated points
                        according to Pareto optimality
largest_eafdiff         Identify largest EAF differences
normalise               Normalise points
rbind_datasets          Combine datasets 'x' and 'y' by row taking care
                        of making all sets unique.
read_datasets           Read several data sets
tpls50x20_1_MWT         Various strategies of Two-Phase Local Search
                        applied to the Permutation Flowshop Problem
                        with Makespan and Weighted Tardiness
                        objectives.
transform_maximise      Transform matrix according to maximise
                        parameter
vorob_t                 Vorob'ev threshold, expectation and deviation
whv_hype                Approximation of the (weighted) hypervolume by
                        Monte-Carlo sampling (2D only)
whv_rect                Compute (total) weighted hypervolume given a
                        set of rectangles
write_datasets          Write data sets
