This class encodes for the solutions obtained when solving multiple instances. This includes several methods to obtain information about both the optimization process and the solution associated with the planning units and conservation actions. It is created using the eval functions (e.g. evalTarget() or evalBudget()).

Value

No return value.

Fields

$data

list. Object containing data on the results of the optimization process.

Methods

getNames()

character. Label indicating the name of solutions.

print()

Print basic information of the model solution.

show()

Call print method.

Examples

# \donttest{
# set seed for reproducibility
set.seed(14)

## Create model and solve
port <- evalBlm(pu = sim_pu_data, features = sim_features_data,
                dist_features = sim_dist_features_data,
                threats = sim_threats_data,
                dist_threats = sim_dist_threats_data,
                sensitivity = sim_sensitivity_data,
                boundary = sim_boundary_data,
                values = c(0.0, 0.01, 0.02, 0.03),
                model_type = "minimizeCosts",
                time_limit = 50,
                output_file = FALSE, cores = 2)
#> *********************************
#>  Iteration 1 of 4: Blm0
#> *********************************
#> Warning: The blm argument was set to 0, so the boundary data has no effect
#> Warning: Some blm_actions argument were set to 0, so the boundary data has no effect for these cases
#> *********************************
#>  Iteration 2 of 4: Blm0.01
#> *********************************
#> Warning: Some blm_actions argument were set to 0, so the boundary data has no effect for these cases
#> *********************************
#>  Iteration 3 of 4: Blm0.02
#> *********************************
#> Warning: Some blm_actions argument were set to 0, so the boundary data has no effect for these cases
#> *********************************
#>  Iteration 4 of 4: Blm0.03
#> *********************************
#> Warning: Some blm_actions argument were set to 0, so the boundary data has no effect for these cases

## Use class methods
port$getNames()
#> [1] "Blm0"    "Blm0.01" "Blm0.02" "Blm0.03"

port$print()
#> Portfolio overview
#>   solutions: 4
# }