Measures the saving that was achieved by the heuristic optimization
algorithm clarke_wright()
compared to the naive vehicle run assignment,
i.e. one run per site.
Arguments
- solution
A "
heumilkr_solution
" object, typically obtained byclarke_wright()
.- relative
Should the saving be given as dimensionful value (in units of distance as provided to
clarke_wright()
), or as percentage relative to the naive costs. Defaults toFALSE
, i.e. a dimensionful value.
Value
The savings either as dimensionful value or as percentage relative to the
naive costs, depending on relative
.
Examples
demand <- c(3, 2, 4, 2)
positions <-
data.frame(
pos_x = c(0, 1, -1, 2, 3),
pos_y = c(0, 1, 1, 2, 3)
)
solution <- clarke_wright(
demand,
dist(positions),
data.frame(n = NA_integer_, caps = 6)
)
print(milkr_saving(solution))
#> [1] 6.485281
print(milkr_saving(solution, relative = TRUE))
#> [1] 0.3275562