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 timecontrolled triggers on Richmond water
network. 
SPEA2relativeVanzyl

Results of SPEA2 with relative timecontrolled triggers on Vanzyl's
water network. 
vorobT() vorobDev() symDifPlot()

Vorob'ev computations 
eafpackage

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 