add_default_solver: Add default solver

In prioritizr: Systematic Conservation Prioritization in R

Add default solver

Description

Specify that the best solver currently available should be used to solve a conservation planning problem.

Usage

add_default_solver(x, ...)

Arguments

x	problem() object.
...	arguments passed to the solver.

Details

Ranked from best to worst, the available solvers that can be used are: add_gurobi_solver(), add_cplex_solver(), add_cbc_solver(), add_highs_solver(), add_lpsymphony_solver(), and finally add_rsymphony_solver(). For information on the performance of different solvers, please see Schuster et al. (2020).

Value

An updated problem() object with the solver added to it.

References

Schuster R, Hanson JO, Strimas-Mackey M, and Bennett JR (2020). Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems. PeerJ, 8: e9258.

See Also

See solvers for an overview of all functions for adding a solver.

Other solvers: add_cbc_solver(), add_cplex_solver(), add_gurobi_solver(), add_highs_solver(), add_lsymphony_solver, add_rsymphony_solver()

prioritizr documentation built on April 3, 2025, 8:45 p.m.