AIMMS to GUROBI Mapping

Description

The table shows in the left column the AIMMS Gurobi options while the right column displays the associated Gurobi parameter.

Option name in AIMMS	Name in GUROBI
Barrier Convergence Tolerance	BARCONVTOL
Barrier Correction Steps	BARCORRECTORS
Barrier Crossover	CROSSOVER
Barrier Crossover Basis	CROSSOVERBASIS
Barrier Homogeneous Algorithm	BARHOMOGENEOUS
Barrier Iteration Limit	BARITERLIMIT
Barrier Ordering	BARORDER
Barrier Progress Solution
Barrier QCP Convergence Tolerance	BARQCPCONVTOL
Calculate Kappa
Concurrent Method	CONCURRENTMETHOD
Farkas Infeasibility Proof
Feasibility	FEASIBILITYTOL
IIS Method	FEASRELAXBIGM
IIS Method	IISMETHOD
Memory Limit	MEMLIMIT
Method	METHOD
MPS
MPS Dual
Multi Objective Method	MULTIOBJMETHOD
Numeric Focus	NUMERICFOCUS
Optimality	OPTIMALITYTOL
Random Seed	SEED
Read Parameter File
Restart
Restart File Number
Scale	SCALEFLAG
Sensitivity Method
Soft Memory Limit	SOFTMEMLIMIT
Solution File
Solution Target	SOLUTIONTARGET
Unbounded Ray
Updates Batch Size
Warm Start	LPWARMSTART
Work Limit	WORKLIMIT
Write Parameter File
Display Solution Quality
Log to Console	LOGTOCONSOLE
Output File	OUTPUTFLAG
Output File Display Interval	DISPLAYINTERVAL
Tune Output Level	TUNEOUTPUT
Branch Direction	BRANCHDIR
Disconnected Component Strategy	DISCONNECTED
Hints File
Improve Start Gap	IMPROVESTARTGAP
Improve Start Nodes	IMPROVESTARTNODES
Improve Start Time	IMPROVESTARTTIME
Integrality	INTFEASTOL
Integrality Focus	INTEGRALITYFOCUS
Lazy Constraint Mode
MIP Best Bound Stop	BESTBDSTOP
MIP Best Objective Stop	BESTOBJSTOP
MIP Focus	MIPFOCUS
MIP Node Method	NODEMETHOD
MIP Start
MIP Start Node Limit	STARTNODELIMIT
MIP Symmetry	SYMMETRY
Node File Start	NODEFILESTART
Node Limit	NODELIMIT
Select Variables	VARBRANCH
BQP Cuts	BQPCUTS
Clique Cuts	CLIQUECUTS
Cover Cuts	COVERCUTS
Dual Implied Cuts	DUALIMPLIEDCUTS
Cut Aggregation Passes Limit	CUTAGGPASSES
Flow Cover Cuts	FLOWCOVERCUTS
Flow Path Cuts	FLOWPATHCUTS
Global Cut Control	CUTS
Gomory Cut Passes Limit	GOMORYPASSES
GUB Cover Cuts	GUBCOVERCUTS
Implied Bound Cuts	IMPLIEDCUTS
Infeasibility Proof Cuts	INFPROOFCUTS
Lift and Project Cuts	LIFTPROJECTCUTS
MIP Separation Cuts	MIPSEPCUTS
MIR Cuts	MIRCUTS
Mixing Cuts	MIXINGCUTS
Mod K Cuts	MODKCUTS
Network Cuts	NETWORKCUTS
Projected Implied Bound Cuts	PROJIMPLIEDCUTS
Relax-and-Lift Cuts	RELAXLIFTCUTS
RLT Cuts	RLTCUTS
Root Cut Passes Limit	CUTPASSES
Strong CG Cuts	STRONGCGCUTS
Sub MIP Cuts	SUBMIPCUTS
Zero Half Cuts	ZEROHALFCUTS
Feasibility Pump Passes	PUMPPASSES
Heuristics	HEURISTICS
Minimum Relaxation Heuristic Node Limit	MINRELNODES
No Relaxation Heuristic Time	NORELHEURTIME
No Relaxation Heuristic Work	NORELHEURWORK
Partition Heuristic	PARTITIONPLACE
RINS Heuristic Frequency	RINS
RINS Sub MIP Node Limit	SUBMIPNODES
Zero Objective Node Limit	ZEROOBJNODES
MIP OBBT	OBBT
Presolve Sparsify Reduction	PRESPARSIFY
SOS1 Encoding	PRESOS1ENCODING
SOS1 Reformulation Threshold	PRESOS1BIGM
SOS2 Encoding	PRESOS2ENCODING
SOS2 Reformulation Threshold	PRESOS2BIGM
Maximal Variable Bound
Nonlinear Optimality Tolerance	MIPGAP
Concurrent MIP	CONCURRENTMIP
Thread Limit	THREADS
Dual Reductions	DUALREDUCTIONS
Linearize Quadratic Constraints	PREQLINEARIZE
Multi Objective Presolve	MULTIOBJPRE
Presolve	PRESOLVE
Presolve Aggregation	AGGREGATE
Presolve Aggregation Fill	AGGFILL
Presolve Dual	PREDUAL
Presolve Passes	PREPASSES
Presolve Row Reduction	PREDEPROW
MIQCP Formulation	PREMIQCPFORM
MIQCP Method	MIQCPMETHOD
NLP Heuristic	NLPHEUR
Nonconvex Strategy	NONCONVEX
PSD Tolerance	PSDTOL
QCP Dual Values	QCPDUAL
Degenerate Simplex Moves Limit	DEGENMOVES
Markowitz	MARKOWITZTOL
Network Algorithm	NETWORKALG
Norm Adjust	NORMADJUST
Objective Scale	OBJSCALE
Perturbation	PERTURBVALUE
Pricing	SIMPLEXPRICING
Quad Precision	QUAD
Sifting	SIFTING
Sifting Method	SIFTMETHOD
Pool Absolute Gap	POOLGAPABS
Pool Gap	POOLGAP
Pool Search Mode	POOLSEARCHMODE
Pool Size	POOLSOLUTIONS
Tune Cleanup	TUNECLEANUP
Tune Criterion	TUNECRITERION
Tune Metric	TUNEMETRIC
Tune Results	TUNERESULTS
Tune Target MIP Gap	TUNETARGETMIPGAP
Tune Target Time	TUNETARGETTIME
Tune Time Limit	TUNETIMELIMIT
Tune Trials	TUNETRIALS

The table below shows Solvers General options that are mapped to Gurobi parameters.

Option name in AIMMS	Name in GUROBI
Cutoff	CUTOFF
Maximal Number of Integer Solutions	SOLUTIONLIMIT
MIP Absolute Optimality Tolerance	MIPGAPABS
MIP Relative Optimality Tolerance	MIPGAP
Iteration Limit	ITERATIONLIMIT
Time Limit	TIMELIMIT