This function creates a new GurobiOpts object.
GurobiOpts(
Threads = 1L,
MIPGap = 0.1,
Method = 0L,
Presolve = 2L,
TimeLimit = NA_integer_,
NumberSolutions = 1L,
MultipleSolutionsMethod = c("benders.cuts", "solution.pool.0", "solution.pool.1",
"solution.pool.2")[1]
)
Arguments
Threads 
integer number of cores to use for processing.
Defaults to 1L.

MIPGap 
numeric MIP gap specifying minimum solution quality.
Defaults to 0.1.

Method 
integer Algorithm to use for solving model. Defaults to
0L.

Presolve 
integer code for level of computation in presolve
(lp_solve parameter). Defaults to 2.

TimeLimit 
integer number of seconds to allow for solving.
Defaults to NA_integer_ , and so a time limit is not imposed.

NumberSolutions 
integer number of solutions to generate.
Defaults to 1L.

MultipleSolutionsMethod 
integer name of method to obtain
multiple solutions (used when NumberSolutions is greater than one).
Available options are "benders.cuts" , "solution.pool.0" ,
"solution.pool.1" , and "solution.pool.2" . The
"benders.cuts" method produces a set of distinct solutions that
are all within the optimality gap. The "solution.pool.0"
method returns all solutions identified whilst trying to find
a solution that is within the specified optimality gap. The
"solution.pool.1" method finds one solution within the optimality
gap and a number of additional solutions that are of any level of quality
(such that the total number of solutions is equal to
number_solutions ). The "solution.pool.2" finds a
specified number of solutions that are nearest to optimality. The
search pool methods correspond to the parameters used by the Gurobi
software suite (see http://www.gurobi.com/documentation/8.0/refman/poolsearchmode.html#parameter:PoolSearchMode).
Defaults to "benders.cuts" .

Value
GurobiOpts
object
See also
Examples
# create GurobiOpts object using default parameters
GurobiOpts(Threads = 1L, MIPGap = 0.1, Method = 0L, Presolve=2L,
TimeLimit = NA_integer_, NumberSolutions = 1L)
#> GurobiOpts object.
#> Threads: 1
#> MIPGap: 0.1
#> Method: 0
#> Presolve: 2
#> TimeLimit: NA
#> NumberSolutions: 1
#> MultipleSolutionsMethod: benders.cuts