plot_pof | R Documentation |
The function plot_pof
generates plots of the Pareto-optimal front (POF)
and the best compromise solution (BCS) in multi-objective optimization for
hydrological models. It visualizes trade-offs between different objectives and
helps identify the most balanced solution, assisting in model calibration and
evaluation processes.
(*): When do.png == TRUE
, graphics are written to disk.
plot_pof(Results,
pof = NULL,
bcs = NULL,
analysis.period = NULL,
dimensions = NULL,
maxmin = NULL,
obj.thr = NULL,
obj.names = NULL,
main = "study case #1",
drty.out = "MOPSO.out",
pch.pof = 21,
pch.bcs = 21,
col.pof = "#f21b1b",
col.bcs = "#004fcf",
legend.pof = c("Pareto-optimal front solutions", "Best compromise solution"),
cex.pt = 1.25,
cex.main = 1,
cex.lab = 1,
cex.axis = 1,
do.png = FALSE)
Results |
( |
pof |
( |
bcs |
( |
analysis.period |
( |
dimensions |
( |
maxmin |
( |
obj.thr |
( |
obj.names |
( |
main |
( |
drty.out |
( |
pch.pof |
( |
pch.bcs |
( |
col.pof |
( |
col.bcs |
( |
legend.pof |
( |
cex.pt |
( |
cex.main |
( |
cex.lab |
( |
cex.axis |
( |
do.png |
( |
No return value; generates plots as a side effect.
Rodrigo Marinao Rivas ra.marinao.rivas@gmail.com, Mauricio Zambrano-Bigiarini, mzb.devel@gmail.com
plot_out
, plot_param
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