Create and solve a multi-actions planning problem. It can be used
instead of following the sequence of the inputData(), problem()
and solve() functions.
prioriactions(...)arguments inherited from inputData(), problem() and solve() functions.
An object of class solution.
# \donttest{
## This example uses input files included into package.
## set seed for reproducibility
set.seed(14)
## Load data
data(sim_pu_data, sim_features_data, sim_dist_features_data,
sim_threats_data, sim_dist_threats_data, sim_sensitivity_data,
sim_boundary_data)
## Create data instance
s <- prioriactions(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,
model_type = "minimizeCosts",
time_limit = 50,
output_file = FALSE,
cores = 2)
#> 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
#> Gurobi Optimizer version 10.0.0 build v10.0.0rc2 (linux64)
#>
#> CPU model: 12th Gen Intel(R) Core(TM) i5-1240P, instruction set [SSE2|AVX|AVX2]
#> Thread count: 16 physical cores, 16 logical processors, using up to 2 threads
#>
#> Optimize a model with 284 rows, 396 columns and 785 nonzeros
#> Model fingerprint: 0xff18a474
#> Variable types: 176 continuous, 220 integer (220 binary)
#> Coefficient statistics:
#> Matrix range [5e-01, 2e+00]
#> Objective range [1e+00, 1e+01]
#> Bounds range [1e+00, 1e+00]
#> RHS range [2e+01, 5e+01]
#> Found heuristic solution: objective 964.0000000
#> Found heuristic solution: objective 886.0000000
#> Presolve removed 251 rows and 294 columns
#> Presolve time: 0.00s
#> Presolved: 33 rows, 102 columns, 194 nonzeros
#> Variable types: 0 continuous, 102 integer (89 binary)
#> Found heuristic solution: objective 776.0000000
#>
#> Root relaxation: objective 7.345000e+02, 39 iterations, 0.00 seconds (0.00 work units)
#>
#> Nodes | Current Node | Objective Bounds | Work
#> Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
#>
#> 0 0 734.50000 0 4 776.00000 734.50000 5.35% - 0s
#> H 0 0 742.0000000 734.50000 1.01% - 0s
#> 0 0 737.00000 0 2 742.00000 737.00000 0.67% - 0s
#> * 0 0 0 738.0000000 738.00000 0.00% - 0s
#>
#> Explored 1 nodes (82 simplex iterations) in 0.00 seconds (0.00 work units)
#> Thread count was 2 (of 16 available processors)
#>
#> Solution count 5: 738 742 776 ... 964
#>
#> Optimal solution found (tolerance 0.00e+00)
#> Best objective 7.380000000000e+02, best bound 7.380000000000e+02, gap 0.0000%
print(s)
#> Solution overview
#> name: sol
#> objective value: 738
#> gap: 0%
#> status: Optimal solution (according to gap tolerance: 0)
#> runtime: 0.004 sec
# }