Solve a model or an interpolated scenario built with the new pipeline

solve_mod() interpolates a model with interpolate_model() and solves it. solve_scen() solves a scenario that was already interpolated with interpolate_model(). Both reuse the existing write / run / read framework (.executeScenario()), so any solver backend supported by the legacy solve_model() (GLPK/GMPL, GAMS, Pyomo, JuMP) works unchanged.

Usage

solve_mod(obj, name = NULL, solver = NULL, ondisk = FALSE, fold = FALSE, ...)

solve_scen(
  obj,
  name = obj@name,
  solver = NULL,
  tmp.dir = NULL,
  tmp.del = FALSE,
  force = FALSE,
  ...
)

Arguments

obj

a model object (solve_mod()) or an interpolated scenario object (solve_scen()).

name

character name of the scenario to create / return.

solver

a character or list with solver settings. When NULL, the scenario's own solver settings or get_default_solver() are used.

ondisk, fold

passed to interpolate_model(). Defaults (FALSE/FALSE) keep parameters in memory and unfolded, matching the shape the writers expect.

...

for solve_mod(), arguments are routed to interpolate_model() (settings / calendar / horizon / model data) or to the solver run (tmp.dir, tmp.del, force, read.solution, wait, echo, run, n.threads, ...). For solve_scen(), arguments are passed to .executeScenario(). Set echo = FALSE for a quiet run: it silences both the progress messages and the solver's own console output.

tmp.dir

character path to the solver working directory.

tmp.del

logical, delete the working directory after the run.

force

logical, re-solve a scenario already solved to optimal.

Value

a scenario object with the solution.

See also

solve_model(), interpolate_model(), read_solution()