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Extract the names of the problems in an object.

Usage

problem_names(x, ...)

Arguments

x

multi_problem() object.

...

not used.

Value

A character vector.

Examples

# load data
sim_pu_raster <- get_sim_pu_raster()
sim_features <- get_sim_features()

# create problem
p <-
  problem(sim_pu_raster, sim_features) %>%
  add_min_set_objective() %>%
  add_relative_targets(0.2) %>%
  add_binary_decisions()

# print feature names
print(feature_names(p))
#> [1] "feature_1" "feature_2" "feature_3" "feature_4" "feature_5"

# define budget for multi-objective problem
b <- 0.3 * terra::global(sim_pu_raster, "sum", na.rm = TRUE)[[1]]

# create multi-objective problem
mp <-
  multi_problem(
    obj1 =
      problem(sim_pu_raster, sim_features[[1:2]]) %>%
      add_max_wtd_sum_objective(budget = b) %>%
      add_relative_targets(0.2) %>%
      add_binary_decisions(),
    obj2 =
      problem(sim_pu_raster, sim_features[[3:5]]) %>%
      add_min_shortfall_objective(budget = b) %>%
      add_relative_targets(0.8) %>%
      add_binary_decisions()
  )
#>  `add_max_wtd_sum_objective()` has severe limitations - use with caution.

# print problem names
print(problem_names(mp))
#> [1] "obj1" "obj2"