CPLEX to AIMMS Mapping

Description

The table shows in the left column the parameters from CPLEX that can be set in AIMMS; the right column displays for each CPLEX parameter the associated AIMMS option.

Name in CPLEX

Option name in AIMMS

Advance

Advanced Start

Bar qcpconvergetol

Barrier Convergence Tolerance for QCP

Barrier algorithm

Barrier Algorithm

Barrier colnonzeros

Barrier Density Definition

Barrier convergetol

Barrier Convergence Tolerance

Barrier crossover

Barrier Crossover Algorithm

Barrier display

Barrier Display

Barrier limits corrections

Barrier Maximal Number of Corrections

Barrier limits growth

Barrier Growth Limit

Barrier limits iteration

Barrier Iterations

Barrier limits objrange

Barrier Objective Range

Barrier ordering

Barrier Ordering

Barrier startalg

Barrier Start Algorithm

Benders strategy

Benders Strategy

Benders tolerances feasibilitycut

Benders Feasibility Cut Tolerance

Benders tolerances optimalitycut

Benders Optimality Cut Tolerance

Benders workeralgorithm

Benders Worker Algorithm

Clocktype

Clock Type

Conflict algorithm

Conflict Algorithm

Dettimelimit

Deterministic Time Limit

Emphasis memory

Memory Emphasis

Emphasis MIP

MIP Emphasis

Emphasis numerical

Numerical Emphasis

Feasopt tolerance

Feasopt Tolerance

Lpmethod

LP Method

MIP cuts bqp

BQP Cuts

MIP cuts cliques

Clique Cuts

MIP cuts covers

Cover Cuts

MIP cuts disjunctive

Disjunctive Cuts

MIP cuts flow

Flow Cover Cuts

MIP cuts gomory

Gomory Cuts

MIP cuts gubcovers

GUB Cover Cuts

MIP cuts implied

Implied Bound Cuts

MIP cuts liftproj

Lift and Project Cuts

MIP cuts localimplied

Local Implied Bound Cuts

MIP cuts mcfcut

MCF Cuts

MIP cuts mircut

Mixed Integer Rounding Cuts

MIP cuts nodecuts

Node Cuts

MIP cuts pathcut

Flow Path Cuts

MIP cuts rlt

RLT Cuts

MIP cuts zerohalf

Zero Half Cuts

MIP display

MIP Display

MIP interval

MIP Interval

MIP limits aggforcut

Cut Generation Limit

MIP limits auxrootthreads

Auxiliary Root Threads

MIP limits cutpasses

MIP Number of Cut Passes

MIP limits cutsfactor

Cuts Factor

MIP limits eachcutlimit

Cut Limit

MIP limits gomorycand

Gomory Cuts Candidate Limit

MIP limits gomorypass

Gomory Cuts Pass Limit

MIP limits lowerobjstop

Lower Objective Stop

MIP limits nodes

Maximal Number of Nodes

MIP limits populate

Population Limit

MIP limits probedettime

Probing Time Deterministic

MIP limits probetime

Probing Time

MIP limits repairtries

Number of Repair Attempts

MIP limits solutions

Maximal Number of Integer Solutions

MIP limits strongcand

MIP Candidate List

MIP limits strongit

Number of Simplex Iterations

MIP limits treememory

MIP Tree Memory Limit

MIP limits upperobjstop

Upper Objective Stop

MIP ordertype

MIP Priority Order Type

MIP polishafter absmipgap

Polishing Absolute MIP Gap

MIP polishafter dettime

Polishing Time Deterministic

MIP polishafter mipgap

Polishing Relative MIP Gap

MIP polishafter nodes

Polishing Number of Nodes

MIP polishafter solutions

Polishing Number of Solutions

MIP polishafter time

Polishing Time

MIP pool absgap

Pool Absolute Objective Gap

MIP pool capacity

Pool Capacity

MIP pool intensity

Pool Intensity

MIP pool relgap

Pool Relative Objective Gap

MIP pool replace

Pool Replacement Strategy

MIP strategy backtrack

Backtrack

MIP strategy branch

Branch

MIP strategy dive

MIP Dive Strategy

MIP strategy file

Node File

MIP strategy fpheur

Feasibility Pump Heuristic

MIP strategy heuristiceffort

Heuristic Effort

MIP strategy heuristicfreq

Heuristic Frequency

MIP strategy kappastats

MIP Kappa

MIP strategy lbheur

Local Branching Heuristic

MIP strategy miqcpstrat

MIQCP Strategy

MIP strategy nodeselect

Selection of Nodes

MIP strategy order

MIP Priority Order Switch

MIP strategy presolvenode

MIP Node Presolve

MIP strategy probe

MIP Probing

MIP strategy rinsheur

RINS Heuristic Frequency

MIP strategy search

MIP Search Strategy

MIP strategy startalgorithm

MIP Start Algorithm

MIP strategy subalgorithm

MIP Method

MIP strategy variableselect

Select Variables

MIP submip nodelimit

SubMIP Node Limit

MIP submip scale

SubMIP Scale

MIP submip startalg

SubMIP Start Algorithm

MIP submip subalg

SubMIP Subproblem Algorithm

MIP tolerances absmipgap

MIP Absolute Optimality Tolerance

MIP tolerances integrality

Integrality

MIP tolerances lowercutoff

Cutoff

MIP tolerances mipgap

MIP Relative Optimality Tolerance

MIP tolerances objdifference

Difference Objective

MIP tolerances relobjdifference

Relative Difference Objective

MIP tolerances uppercutoff

Cutoff

Multiobjective display

Multi Objective Display

Network iterations

Network Iterations

Network netfind

Network Extraction Level

Network pricing

Network Pricing

Network tolerances feasibility

Network Feasibility

Network tolerances optimality

Network Optimality

Optimalitytarget

Solution Target

Output clonelog

Clone Log Files

Parallel mode

Parallel Mode

Paramdisplay

Parameter Display

Preprocessing aggregator

Aggregator

Preprocessing boundstrength

Boundstrength

Preprocessing coeffreduce

Coefficient Reduction

Preprocessing dependency

Dependency

Preprocessing dual

Presolve Pass Dual

Preprocessing fill

Limit Substitutions

Preprocessing folding

Folding

Preprocessing numpass

Number of Iterations in Presolve

Preprocessing presolve

Presolve

Preprocessing qcpduals

QCP Dual Values

Preprocessing qpmakepsd

Adjust MIQP

Preprocessing qtolin

QP Linearization

Preprocessing reduce

Preprocessing Reduction Types

Preprocessing relax

Presolve Relaxed MIP

Preprocessing repeatpresolve

Repeat Presolve

Preprocessing sos1reform

SOS1 Reformulations

Preprocessing sos2reform

SOS2 Reformulations

Preprocessing symmetry

Preprocessing Symmetry

QPMethod

QP Method

Randomseed

Random Seed

Read datacheck

Data Check and Modeling Assistance

Read qpnonzeros

QP Nonzeros Read Limit

Read scale

Scale

Sifting algorithm

Sifting Algorithm

Sifting simplex

Sifting from Simplex

Simplex crash

Crash Ordering

Simplex dgradient

Dual Pricing Algorithm

Simplex display

Simplex Display

Simplex dynamicrows

Dynamic Row Management

Simplex limits iterations

Iteration Limit

Simplex limits perturbation

Stalled Iterations

Simplex limits singularity

Singular

Simplex perturbationlimit

Perturbation Constant

Simplex perturbationlimit

Perturbation Indicator

Simplex pgradient

Primal Pricing Algorithm

Simplex pricing

Pricing

Simplex refactor

Refactor

Simplex tolerances feasibility

Feasibility

Simplex tolerances markowitz

Markowitz

Simplex tolerances optimality

Optimality

Solutiontype

Solution Type

Threads

Global Thread Limit

Timelimit

Time Limit

Tune dettimelimit

Tuning Time Limit Deterministic

Tune display

Tuning Display

Tune measure

Tuning Measure

Tune repeat

Tuning Repeater

Tune timelimit

Tuning Time Limit

Workmem

Working Memory Limit