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Gurobi Options for AMPL

To set these directives, assign a string specifying their values to the AMPL option gurobi_options. For example:

ampl: option gurobi_options 'method=4 outlev=1 mipgap=1e-5';

All keywords are followed by a value except those marked single-word phrase in the listing.

aggfill              Amount of fill allowed during aggregation during
                        gurobi's presolve (default -1).
aggregate Whether to use aggregation during Gurobi presolve: 0 = no (sometimes reduces numerical errors) 1 = yes (default).
ams_eps Relative tolerance for reporting alternate MIP solutions (default 0 = no limit).
ams_epsabs Absolute tolerance for reporting alternate MIP solutions (default 0 = no limit).
ams_limit Limit on number of alternate MIP solutions written, with no limit when ams_limit = 0 (default).
ams_mode Search mode for MIP solutions when ams_stub is specified to request finding several alternative solutions: 0 = ignore ams_stub; seek just one optimal solution 1 = make some effort at finding additional solutions 2 = seek "ams_limit" best solutions (default).
ams_stub Stub for alternative MIP solutions, written to files with names obtained by appending "1.sol", "2.sol", etc., to ams_stub. The number of such files written is affected by four keywords: ams_mode specifies how much effort to expend; ams_limit gives the maximum number of files written, with no limit when ams_limit = 0 (default); ams_eps gives a relative tolerance on the objective values of alternative solutions; and ams_epsabs gives an absolute tolerance on how much worse the objectives can be. The number of alternative MIP solution files written is returned in suffix npool on the objective and problem.
barconvtol Tolerance on the relative difference between the primal and dual objectives for stopping the barrier algorithm (default 1e-8).
barcorrectors Limit on the number of central corrections done in each barrier iteration (default -1 = automatic choice)
barhomogeneous Whether to use the homogeneous barrier algorithm (e.g., when method=2 is specified): -1 = only when solving a MIP node relaxation (default) 0 = never 1 = always. The homogeneous barrier algorithm can detect infeasibility or unboundedness directly, without crossover, but is a bit slower than the nonhomogeneous barrier algorithm.
bariterlim Limit on the number of barrier iterations (default 1000).
barorder Ordering used to reduce fill in sparse-matrix factorizations during the barrier algorithm: -1 = automatic choice (default) 0 = approximate minimum degree 1 = nested dissection.
barqcptol Convergence tolerance on the relative difference between primal and dual objective values for barrier algorithms when solving problems with quadratic constraints (default 1e-6).
basis Whether to use or return a basis: 0 = no 1 = use incoming basis (if provided) 2 = return final basis 3 = both (1 + 2 = default). For problems with integer variables and quadratic constraints, basis = 0 is assumed quietly unless qcpdual=1 is specified.
basisdebug Whether to honor basis and solnsens when an optimal solution was not found: 0 = only if a feasible solution was found (default) 1 = yes 2 = no.
bestbndstop Stop once the best bound on the objective value is at least as good as this value.
bestbound Whether to return suffix .bestbound for the best known bound on the objective value: 0 = no (default) 1 = yes The suffix is on the objective and problem and is +Infinity for minimization problems and -Infinity for maximization problems if there are no integer variables or if an integer feasible solution has not yet been found.
bestobjstop Stop after a feasible solution with objective value at least as good as this value has been found.
bqpcuts Whether to enable Boolean Quadric Polytope cut generation: -1 = automatic choice (default) 0 = disallow BQP cuts 1 = enable moderate BQP cut generation 2 = enable aggressive BQP cut generation. Values 1 and 2 override the "cuts" keyword.
branchdir Which child node to explore first when branching: -1 = explore "down" branch first 0 = explore "most promising" branch first (default) 1 = explore "up" branch first.
cliquecuts Overrides "cuts"; choices as for "cuts".
cloudid Use Gurobi Instant Cloud with this "accessID".
cloudkey Use Gurobi Instant Cloud with this "secretKey". Both cloudid and cloudkey are required.
cloudpool Optional "machine pool" to use with Gurobi Instant Cloud.
cloudpriority Priority of Cloud job, an integer >= -100 and <= 100. Default 0. Jobs with priority 100 run immediately -- use caution when specifying this value.
concurrentmip How many independent MIP solves to allow at once when multiple threads are available. The available threads are divided as evenly as possible among the concurrent solves. Default = 1.
concurrentwinmethod Whether to return the winning method after a continuous problem has been solved with concurrent optimization: 0 = do not return (default) 1 = return as prooblem suffix "concurrentwinmethod" See option "method" for a description of the returned values.
covercuts Overrides "cuts"; choices as for "cuts".
crossover How to transform a barrier solution to a basic one: -1 = automatic choice (default) 0 = none: return an interior solution 1 = push dual vars first, finish with primal simplex 2 = push dual vars first, finish with dual simplex 3 = push primal vars first, finish with primal simplex 4 = push primal vars first, finish with dual simplex
crossoverbasis strategy for initial basis construction during crossover: 0 = favor speed (default) 1 = favor numerical stability.
cutagg Maximum number of constraint aggregation passes during cut generation (-1 = default = no limit); overrides "cuts".
cutoff If the optimal objective value is worse than cutoff, report "objective cutoff" and do not return a solution. Default: +Infinity for minimizing, -Infinity for maximizing.
cutpasses Maximum number of cutting-plane passes to do during root-cut generation; default = -1 ==> automatic choice.
cuts Global cut generation control, valid unless overridden by individual cut-type controls: -1 = automatic choice (default) 0 = no cuts 1 = conservative cut generation 2 = aggressive cut generation 3 = very aggressive cut generation.
degenmoves Limit on the number of degenerate simplex moves -- for use when too much time is taken after solving the initial root relaxation of a MIP problem and before cut generation or root heuristics have started. Default -1 ==> automatic choice.
disconnected Whether to exploit independent MIP sub-models: -1 = automatic choice (default) 0 = no 1 = use moderate effort 2 = use aggressive effort.
dualreductions Whether Gurobi's presolve should use dual reductions, which may be useful on a well-posed problem but can prevent distinguishing whether a problem is infeasible or unbounded: 0 = no 1 = yes (default).
feasrelax Whether to modify the problem into a feasibility relaxation problem: 0 = no (default) 1 = yes, minimizing the weighted sum of violations 2 = yes, minimizing the weighted count of violations 3 = yes, minimizing the sum of squared violations 4-6 = same objective as 1-3, but also optimize the original objective, subject to the violation objective being minimized Weights are given by suffixes .lbpen and .ubpen on variables and .rhspen on constraints (when positive), else by keywords lbpen, ubpen, and rhspen, respectively (default values = 1). Weights <= 0 are treated as Infinity, allowing no violation.
feasrelaxbigm Value of "big-M" sometimes used with constraints when doing a feasibility relaxation. Default = 1e6.
feastol Primal feasibility tolerance (default 1e-6).
fixedmethod Value of "method" to use when seeking a basis for MIP problems when "basis=2" or (the default) "basis=3" has been specified. Default: if "method" is 0 or 1 then "method" else 1.
flowcover flowcover cuts: Overrides "cuts"; choices as for "cuts".
flowpath flowpath cuts: Overrides "cuts"; choices as for "cuts".
gomory Maximum number of Gomory cut passes during cut generation (-1 = default = no limit); overrides "cuts".
gubcover gubcover cuts: Overrides "cuts"; choices as for "cuts".
heurfrac Fraction of time to spend in MIP heuristics (default 0.05)
iisfind Whether to return an IIS (via suffix .iis) when the problem is infeasible: 0 = no (default) 1 ==> yes.
iismethod Which method to use when finding an IIS (irreducible infeasible set of constraints, including variable bounds): -1 = automatic choice (default) 0 = often faster than method 1 1 = can find a smaller IIS than method 0.
implied implied cuts: Overrides "cuts"; choices as for "cuts".
improvegap Optimality gap below which the MIP solver switches from trying to improve the best bound to trying to find better feasible solutions (default 0).
improvetime Execution seconds after which the MIP solver switches from trying to improve the best bound to trying to find better feasible solutions (default Infinity).
impstartnodes Number of MIP nodes after which the solution strategy will change from improving the best bound to finding better feasible solutions (default Infinity).
infproofcuts Whether to generate infeasibility proof cuts: -1 = automatic choice (default) 0 = no 1 = moderate cut generation 2 = aggressive cut generation.
integralityfocus Setting this parameter to 1 requests the solver to work harder at finding solutions that are still (nearly) feasible when all integer variables are rounded to exact integral values: 0 = no (default) 1 = yes.
intfeastol Feasibility tolerance for integer variables (default 1e-05).
intstart When there are integer variables, whether to use an initial guess (if available): 0 = no 1 = yes (default).
iterlim iteration limit (default: no limit)
kappa Whether to return the estimated condition number (kappa) of the optimal basis (default 0): sum of 1 = report kappa in Gurobi's result message; 2 = return kappa in the solver-defined suffix kappa on the objective and problem. The request is ignored when there is no optimal basis.
lazy Whether to honor suffix .lazy on linear constraints in problems with binary or integer variables: 0 = no (ignore .lazy) 1 = yes (default). Lazy constraints are indicated with .lazy values of -1, 1, 2, or 3 and are ignored until a solution feasible to the remaining constraints is found. What happens next depends on the value of .lazy: -1 ==> treat the constraint as a user cut; the constraint must be redundant with respect to the rest of the model, although it can cut off LP solutions; 1 ==> the constraint may still be ignored if another lazy constraint cuts off the current solution; 2 ==> the constraint will henceforth be enforced if it is violated by the current solution; 3 ==> the constraint will henceforth be enforced.
lbpen See feasrelax.
liftprojectcuts Wether to generate lift-and-project cuts: -1 = automatic choice (default) 0 = no 1 = moderate cut generation 2 = aggressive cut generation.
logfile Name of file to receive log lines (default: none); implies outlev = 1.
logfreq Interval in seconds between log lines (default 5).
lpmethod synonym for "method"
lpwarmstart Controls how gurobi uses warm-start in LP optimization: 0 = ignore information 1 = use information to solve the original problem 2 = use the (crushed) information to solve the presolved problem. Note that if presolve is disabled, 1 prioritizes basis statuses, 2 prioritizes start vectors.
maxmipsub Maximum number of nodes for RIMS heuristic to explore on MIP problems (default 500).
maxvio Whether to return the maximum of all (unscaled) violations to the current problem: 0 = do not return (default) 1 = return in the problem suffix "maxvio"
memlimit Maximum amount of memory available to Gurobi (in GB, default no limit). The solution will fail if more memory is needed.
method Which algorithm to use for non-MIP problems or for the root node of MIP problems: -1 automatic (default): 3 for LP, 2 for QP, 1 for MIP root node 0 = primal simplex 1 = dual simplex 2 = barrier 3 = nondeterministic concurrent (several solves in parallel) 4 = deterministic concurrent 5 = deterministic concurrent simplex.
minrelnodes Number of nodes for the Minimum Relaxation heuristic to explore at the MIP root node when a feasible solution has not been found by any other heuristic; default -1 ==> automatic choice.
mipfocus MIP solution strategy: 0 = balance finding good feasible solutions and proving optimality (default) 1 = favor finding feasible solutions 2 = favor proving optimality 3 = focus on improving the best objective bound.
mipgap max. relative MIP optimality gap (default 1e-4)
mipgapabs absolute MIP optimality gap (default 1e-10)
mipsep MIPsep cuts: Overrides "cuts"; choices as for "cuts".
mipstart Whether to use initial guesses in problems with integer variables: 0 = no 1 = yes (default).
miqcpmethod Method for solving mixed-integer quadratically constrained (MIQCP) problems: -1 = automatic choice (default) 0 = solve continuous QCP relaxations at each node 1 = use linearized outer approximations.
mircuts MIR cuts: Overrides "cuts"; choices as for "cuts".
modkcuts mod-k cuts: Overrides "cuts"; choices as for "cuts".
multiobj Whether to do multi-objective optimization: 0 = no (default) 1 = yes When multiobj = 1 and several objectives are present, suffixes .objpriority, .objweight, .objreltol, and .objabstol on the objectives are relevant. Objectives with greater .objpriority values (integer values) have higher priority. Objectives with the same .objpriority are weighted by .objweight. Objectives with positive .objabstol or .objreltol are allowed to be degraded by lower priority objectives by amounts not exceeding the .objabstol (absolute) and .objreltol (relative) limits. The objective must all be linear. Objective-specific convergence tolerances and method values may be assigned via keywords of the form obj_n_name, such as obj_1_method for the first objective.
multiobjmethod Choice of optimization algorithm for lower-priority objectives: -1 = automatic choice (default) 0 = primal simplex 1 = dual simplex 2 = ignore warm-start information; use the algorithm specified by the method keyword. The method keyword determines the algorithm to use for the highest priority objective.
multiobjpre How to apply Gurobi's presolve when doing multi-objective optimization: -1 = automatic choice (default) 0 = do not use Gurobi's presolve 1 = conservative presolve 2 = aggressive presolve, which may degrade lower- priority objectives.
multprice_norm Choice of norm used in multiple pricing: -1 = automatic choice (default) 0, 1, 2, 3 = specific choices: hard to describe, but sometimes a specific choice will perform much better than the automatic choice.
networkcuts Network cuts: Overrides "cuts"; choices as for "cuts".
nlpheur Controls the NLP heuristic, affecting non-convex quadratic problems: 0 = Do not apply heuristic 1 = Apply heuristic (default).
nodefiledir Directory where MIP tree nodes are written after memory for them exceeds nodefilestart; default "."
nodefilestart Gigabytes of memory to use for MIP tree nodes; default = Infinity (no limit, i.e., no node files written).
nodelim maximum MIP nodes to explore (default: no limit)
nodemethod Algorithm used to solve relaxed MIP node problems: -1 = automatic choice (default) 0 = primal simplex 1 = dual simplex (default) 2 = barrier.
nonconvex How to handle non-convex quadratic objectives and constraints: -1 = default choice (currently the same as 1) 0 = complain about nonquadratic terms 1 = complain if Gurobi's presolve cannot discard or eliminate nonquadratic terms 2 = translate quadratic forms to bilinear form and use spatial branching.
norelheurtime Limits the amount of time spent in the NoRel heuristic; see the description of norelheurwork for details. This parameter will introduce non determinism; use norelheurwork for deterministic results. Default 0.
norelheurwork Limits the amount of work spent in the NoRel heuristic. This heuristics searches for high-quality feasible solutions before solving the root relaxation. The work metrix is hard to define precisely, as it depends on the machine. Default 0.
normadjust synonym for "multprice_norm"
numericfocus How much to try detecting and managing numerical issues: 0 = automatic choice (default) 1-3 = increasing focus on more stable computations.
objno Objective to optimize: 0 = none 1 = first (default, if available), 2 = second (if available), etc.
objrep Whether to replace minimize obj: v; with minimize obj: f(x) when variable v appears linearly in exactly one constraint of the form s.t. c: v >= f(x); or s.t. c: v == f(x); Possible objrep values: 0 = no 1 = yes for v >= f(x) 2 = yes for v == f(x) (default) 3 = yes in both cases For maximization problems, ">= f(x)" is changed to "<= f(x)" in the description above.
objscale How to scale the objective: 0 ==> automatic choice (default) negative >= -1 ==> divide by max abs. coefficient raised to this power positive ==> divide by this value.
opttol Optimality tolerance on reduced costs (default 1e-6). outlev Whether to write Gurobi log lines (chatter) to stdout: 0 = no (default) 1 = yes (see logfreq).
param General way to specify values of both documented and undocumented Gurobi parameters; value should be a quoted string (delimited by ' or ") containing a parameter name, a space, and the value to be assigned to the parameter. Can appear more than once. Cannot be used to query current parameter values.
paramfile Name of file (surrounded by 'single' or "double" quotes if the name contains blanks) of parameter names and values for them. Lines that start with # are ignored. Otherwise, each nonempty line should contain a name and a value, separated by a space.
partitionplace Whether and how to use the .partition suffix on variables in the partition heuristic for MIP problems: sum of 1 ==> when the branch-and-cut search ends 2 ==> at nodes in the branch-and-cut search 4 ==> after the root-cut loop 8 ==> at the start of the root-cut loop 16 ==> before solving the root relaxation. Default = 15. Values of .parition determine how variables participate in the partition heuristic. Variables with .partition = -1 are always held fixed; .partition = 0 can vary in all sub-MIP models; .partition > 0 can vary only in in that sub-MIP model. The partition heuristic is only run when partition_place is between 1 and 31 and some variables have suitable .partition suffix values.
perturb Magnitude of simplex perturbation (when needed; default 2e-4).
pivtol Markowitz pivot tolerance (default 7.8125e-3)
pl_bigm When some variables appear in piecewise-linear terms in the objective and AMPL's "option pl_lineraize 0" is specified, lower bounds of -pl_bigm are assumed for such variables that are not bounded below and upper bounds of +pl_bigm are assumed for such variables that are not bounded above. Default = 1e6.
pool_distmip Number of machines in the server pool (if specified by pool_servers) to use for solving each MIP instance.
pool_mip Number of independent MIP jobs (default 0) to generate and solve using the server pool (if specified by pool_servers). Gurobi automatically chooses different algorithm parameter values for each job.
pool_password Password for the server pool (if needed).
pool_servers Comma-separated list of server names or IP addresses of machines in the server pool (default "" = none).
pool_tunejobs Number of parallel tuning jobs (default 0) to run on the server (if specified by pool_servers). Tuning results are not normalized by server performance, so tuning is most effective when all the servers in the server pool have similar performance characteristics.
poolgap synonym for ams_eps
poolgapabs synonym for ams_epsabs
poolsearchmode synonym for ams_mode
poolsolutions synonym for ams_limit
poolstub synonym for ams_stub
predeprow Whether Gurobi's presolve should remove linearly dependent constraint-matrix rows: -1 = only for continuous models 0 = never 1 = for all models.
predual Whether gurobi's presolve should form the dual of a continuous model: -1 = automatic choice (default) 0 = no 1 = yes 2 = form both primal and dual and use two threads to choose heuristically between them.
premiqcpform For mixed-integer quadratically constrained (MIQCP) problems, how Gurobi should transform quadratic constraints: -1 = automatic choice (default) 0 = retain MIQCP form 1 = transform to second-order cone contraints 2 = transform to rotated cone constraints Choices 0 and 1 work with general quadratic constraints. Choices 1 and 2 only work with constraints of suitable forms.
prepases deprecated synonym for "prepasses"
prepasses Limit on the number of Gurobi presolve passes: -1 = automatic choice (automatic) n >= 0: at most n passes.
preqlinearize How Gurobi's presolve should treat quadratic problems: -1 = automatic choice (default) 0 = do not modify the quadratic part(s) 1 or 2 = try to linearize quadratic parts: 1 = focus on a strong LP relaxation 2 = focus on a compact relaxation.
presolve Whether to use Gurobi's presolve: -1 (default) = automatic choice 0 = no 1 = conservative presolve 2 = aggressive presolve.
presos1bigm Big-M for converting SOS1 constraints to binary form: -1 = automatic choice (default) 0 = no conversion Large values (e.g., 1e8) may cause numeric trouble.
presos2bigm Big-M for converting SOS2 constraints to binary form: -1 = automatic choice 0 = no conversion (default) Large values (e.g., 1e8) may cause numeric trouble.
presos1enc Encoding used for SOS1 reformulation: -1 = automatic choice (default) 0 = multiple choiche model, produces an LP relaxation that is easy to solve 1 = incremental model, reduces the amount of branching 2 = formulation whose LP relaxation is easier to solve 3 = formulation with better branching behaviour, requires sum of the variables == 1. Options 0 and 1 produce reformulations that are linear in size, options 2 and 3 use reformulation logarithmic in size. Option 2 and 3 apply only when all the varaibels are >=0.
presos2enc Encoding used for SOS2 reformulation, see presos1enc.
presparsify Whether Gurobi's presolve should use its "sparsify reduction", which sometimes gives significant problem-size reductions: -1 = automatic choice 0 = no 1 = yes.
pricing Pricing strategy: -1 = automatic choice (default) 0 = partial pricing 1 = steepest edge 2 = Devex 3 = quick-start steepest edge.
priorities Whether to use the variable.priority suffix with MIP problems. When several branching candidates are available, a variable with the highest .priority is chosen for the next branch. Priorities are nonnegative integers (default 0). Possible values for "priorities": 0 = ignore .priority; assume priority 0 for all vars 1 = use .priority if present (default).
psdtol Maximum diagonal perturbation to correct indefiniteness in quadratic objectives (default 1e-6).
pumppasses Number of feasibility-pump passes to do after the MIP root when no other root heuristoc found a feasible solution. Default -1 = automatic choice.
qcpdual Whether to compute dual variables when the problem has quadratic constraints (which can be expensive): 0 = no (default) 1 = yes.
quad Whether simplex should use quad-precision: -1 = automatic choice (default) 0 = no 1 = yes.
rays Whether to return suffix .unbdd if the objective is unbounded or suffix .dunbdd if the constraints are infeasible: 0 = neither 1 = just .unbdd 2 = just .dunbdd 3 = both (default).
relax Whether to relax integrality: 0 = no (default) 1 = yes: treat integer and binary variables as continuous.
relaxliftcuts Whether to enable relax-and-lift cut generation: -1 = automatic choice (default) 0 = disallow relax-and-lift cuts 1 = enable moderate relax-and-lift cut generation 2 = enable aggressive relax-and-lift cut generation. Values 1 and 2 override the "cuts" keyword.
resultfile Name of a file of extra information written after completion of optimization. The name's suffix determines what is written: .sol solution vector .bas simplex basis .mst integer variable solution vector.
return_mipgap Whether to return mipgap suffixes or include mipgap values (|objectve - best_bound|) in the solve_message: sum of 1 = return relmipgap suffix (relative to |obj|); 2 = return absmipgap suffix (absolute mipgap); 4 = suppress mipgap values in solve_message. Default = 0. The suffixes are on the objective and problem. Returned suffix values are +Infinity if no integer-feasible solution has been found, in which case no mipgap values are reported in the solve_message.
rhspen See feasrelax.
rins How often to apply the RINS heuristic for MIP problems: -1 = automatic choice (default) 0 = never n > 0: every n-th node.
rltcuts Whether to enable generation of cuts by the Relaxation Linearization Technique (RLT): -1 = automatic choice (default) 0 = disallow RLT cuts 1 = enable moderate RLT cut generation 2 = enable aggressive RLT cut generation. Values 1 and 2 override the "cuts" keyword.
round Whether to round integer variables to integral values before returning the solution, and whether to report that GUROBI returned noninteger values for integer values: sum of 1 ==> round nonintegral integer variables 2 ==> modify solve_result 4 ==> modify solve_message Default = 7. Modifications that were or would be made are reported in solve_result and solve_message only if the maximum deviation from integrality exceeded round_reptol.
round_reptol Tolerance for reporting rounding of integer variables to integer values; see "round". Default = 1e-9.
scale Whether to scale the problem: -1 = automatic choice (default) 0 = no 1 = yes 2 = yes, more aggressively 3 = yes, even more aggressively.
seed Random number seed (default 0), affecting perturbations that may influence the solution path.
server Comma-separated list of Gurobi compute servers, specified either by name or by IP address. Default: run Gurobi locally (i.e., do not use a remote Gurobi server).
server_insecure Whether to user "insecure mode" with the Gurobi Compute Server. Should be left at default value (0) unless an administrator specifies another value.
server_password Password (if needed) for specified Guruobi compute server(s).
server_priority Priority for Gurobi compute server(s). Default = 0. Highest priority = 100.
server_timeout Report job as rejected by Gurobi compute server if the job is not started within server_timeout seconds. Default = -1 (no limit).
serverlic Name of file containing "server = ..." and possibly values for server_password, server_port, and server_timeout. Synonyms for server: computeserver, servers. Synonym for server_password: password.
servers synonym for "server"
sifting Whether to use sifting within the dual simplex algorithm, which can be useful when there are many more variables than constraints: -1 = automatic choice (default) 0 = no 1 = yes, moderate sifting 2 = yes, aggressive sifting.
siftmethod Algorithm to use for sifting with the dual simplex method: -1 = automatic choice (default) 0 = primal simplex 1 = dual simplex 2 = barrier.
simplex synonym for "method"
solnlimit maximum MIP solutions to find (default 2e9)
solnsens Whether to return suffixes for solution sensitivities, i.e., ranges of values for which the optimal basis remains optimal: 0 = no (default) 1 = yes: suffixes return on variables are .sensobjlo = smallest objective coefficient .sensobjhi = greatest objective coefficient .senslblo = smallest variable lower bound .senslbhi = greatest variable lower bound .sensublo = smallest variable upper bound .sensubhi = greatest variable upper bound suffixes for constraints are .sensrhslo = smallest right-hand side value .sensrhshi = greatest right-hand side value. For problems with integer variables and quadratic constraints, solnsens = 0 is assumed quietly.
sos whether to honor declared suffixes .sosno and .ref describing SOS sets: 0 = no 1 = yes (default): each distinct nonzero .sosno value designates an SOS set, of type 1 for positive .sosno values and of type 2 for negative values. The .ref suffix contains corresponding reference values.
sos2 Whether to tell Gurobi about SOS2 constraints for nonconvex piecewise-linear terms: 0 = no 1 = yes (default), using suffixes .sos and .sosref provided by AMPL.
startnodelimit Limit on how many branch-and-bound nodes to explore when doing a partial MIP start: -2 = suppress MIP start processing -1 = use submipnodes (default) >= 0 ==> specific node limit.
submipcuts sub-MIP cuts: Overrides "cuts"; choices as for "cuts".
submipnodes Limit on nodes explored by MIP-based heuristics, e.g., RINS. Default = 500.
symmetry MIP symmetry detection: -1 = automatic choice (default) 0 = none 1 = conservative 2 = agressive.
threads How many threads to use when using the barrier algorithm or solving MIP problems; default 0 ==> automatic choice.
timelim limit on solve time (in seconds; default: no limit)
timing Whether to report timing: 0 (default) = no 1 = report times on stdout 2 = report times on stderr.
tunebase Base name for results of running Gurobi's search for better parameter settings. The search is run only when tunebase is specified. Results are written to files with names derived from tunebase by appending ".prm" if ".prm" does not occur in tunebase and inserting 1, 2, ... (for the first, second, ... set of parameter settings) before the right-most ".prm". The file with "1" inserted is the best set and the solve results returned are for this set. In a subsequent "solve;", you can use paramfile=... to apply the settings in results file ... .
tuneoutput Amount of tuning output when tunebase is specified: 0 = none 1 = summarize each new best parameter set 2 = summarize each set tried (default) 3 = summary plus detailed solver output for each trial.
tuneresults Limit on the number of tuning result files to write when tunerbase is specified. The default (-1) is to write results for all parameter sets on the efficient frontier.
tunetimelimit Time limit (in seconds) on tuning when tunebase is specified. Default -1 ==> automatic choice of time limit.
tunetrials Number of trials for each parameter set when tunebase is specified, each with a different random seed value. Default = 3.
ubpen See feasrelax.
varbranch MIP branch variable selection strategy: -1 = automatic choice (default) 0 = pseudo reduced-cost branching 1 = pseudo shadow-price branching 2 = maximum infeasibility branching 3 = strong branching.
version Report version details before solving the problem. This is a single-word "phrase" that does not accept a value assignment.
wantsol solution report without -AMPL: sum of 1 ==> write .sol file 2 ==> print primal variable values 4 ==> print dual variable values 8 ==> do not print solution message.
warmstart Whether to use incoming primal and dual variable values (if both are available) in a simplex warm start: 0 = no; 1 = yes if there is no incoming basis (default); 2 = yes, ignoring the incoming basis (if any); 3 = no, but on MIP problems, use the incoming primal values as hints, ignoring the .hintpri suffix; 4 = similar to 3, but use the .hintpri suffix on variables: larger (integer) values give greater priority to the initial value of the associated variable. Note that specifying basis=0 or basis=2 causes there to be no incoming basis. This is relevant to warmstart values 1, 3, and 4. For continuous problems, warmstart values >= 2 are treated as 1. Normally an incoming solution vector disables LP presolve, to enable it set lpwarmstart to 2.
work Whether to report the amount of (deterministic) work spent on the latest optimization: 0 = do not report (default) 1 = report in the problem suffix "work".
worklimit Maximum amount of work expended (in work units); in contrast to timelim, work limits are deterministic (default no limit).
writeprob Name of a GUROBI-format file to be written (for debugging); must end in one of ".bas", ".lp", ".mps", ".prm", ".rew", ".rlp", ".sol", or for the "fixed" model used to recover a basis or dual values for problems with integer variables or quadratic constraints, ".fix_lp" or ".fix_mps"; the '_' will be replaced by '.' in the name of the file written for ".fix_lp" or ".fix_mps". Can appear more than once with different filenames.
zerohalfcuts zero-half cuts: Overrides "cuts"; choices as for "cuts".
zeroobjnodes Number of nodes to explore at the root MIP node if no other heuristic has found a feasible solution. Default = -1 (automatic choice).