All functions

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.

vorobT() vorobDev() symDifPlot()

Vorob'ev computations

eaf-package

Plots of the Empirical Attainment Function

eafdiffplot()

Empirical attainment function differences

eafplot()

Plot the Empirical Attainment Function for two objectives generic

eafs()

Exact computation of the EAF

epsilon_additive() epsilon_mult()

Epsilon metric

gcp2x2

Metaheuristics for solving the Graph Vertex Coloring Problem

hv_contributions()

Hypervolume contribution of a set of points

hypervolume()

Hypervolume metric

igd() igd_plus()

Inverted Generational Distance (IGD and IGD+)

is_nondominated() filter_dominated() pareto_rank()

Identify, remove and rank dominated points according to Pareto optimality

normalise()

Normalise points

read_datasets() read.data.sets()

Read several data.frame sets