Working with Pyomo
Pyomo uses 'solver managers' to execute 'solvers' that perform optimization and other forms of model analysis. A solver directly executes an optimizer, typically using an executable found on the user's PATH environment. Solver managers support a flexible mechanism for asyncronously executing solvers either locally or remotely. The following solver managers are available in Pyomo:
neos Asynchronously execute solvers on the NEOS server
phpyro Specialized PH solver manager that uses pyro
pyro Execute solvers remotely using pyro
serial Synchronously execute solvers locally
If no solver manager is specified, Pyomo uses the serial solver manager to execute solvers locally. The pyro and phpyro solver managers require the installation and configuration of the pyro software. The neos solver manager is used to execute solvers on the NEOS optimization server.
The serial, pyro and phpyro solver managers support the following solver interfaces:
asl + Interface for solvers using the AMPL Solver
Library
baron The BARON MINLP solver
bilevel_blp_global + Global solver for continuous bilevel linear
problems
bilevel_blp_local + Local solver for continuous bilevel linear
problems
bilevel_bqp + Global solver for bilevel quadratic
problems
bilevel_ld + Solver for bilevel problems using linear
duality
cbc The CBC LP/MIP solver
conopt The CONOPT NLP solver
contrib.gjh Interface to the AMPL GJH "solver"
cplex The CPLEX LP/MIP solver
cplex_direct Direct python interface to CPLEX
cplex_persistent Persistent python interface to CPLEX
gams The GAMS modeling language
gdpbb * Branch and Bound based GDP Solver
gdpopt * The GDPopt decomposition-based Generalized
Disjunctive Programming (GDP) solver
glpk * The GLPK LP/MIP solver
gurobi The GUROBI LP/MIP solver
gurobi_direct Direct python interface to Gurobi
gurobi_persistent Persistent python interface to Gurobi
ipopt * The Ipopt NLP solver
mindtpy * MindtPy: Mixed-Integer Nonlinear
Decomposition Toolbox in Pyomo
mosek Direct python interface to Mosek
mpec_minlp + MPEC solver transforms to a MINLP
mpec_nlp + MPEC solver that optimizes a nonlinear
transformation
multistart * MultiStart solver for NLPs
path Nonlinear MCP solver
pico The PICO LP/MIP solver
ps * Pyomo's simple pattern search optimizer
py + Direct python solver interfaces
scip The SCIP LP/MIP solver
trustregion * Trust region filter method for black
box/glass box optimization
xpress * The XPRESS LP/MIP solver
An asterisk indicates solvers that are currently available to be run from Pyomo with the serial solver manager. A plus indicates meta- solvers, that are always available.
Pyomo also supports solver interfaces that are wrappers around third- party solver interfaces. These interfaces require a subsolver specification that indicates the solver being executed. For example, the following indicates that the ipopt solver will be used:
asl:ipopt
The asl interface provides a generic wrapper for all solvers that use the AMPL Solver Library.
Note that subsolvers can not be enumerated automatically for these interfaces. However, if a solver is specified that is not found, Pyomo assumes that the asl solver interface is being used. Thus the following solver name will launch ipopt if the 'ipopt' executable is on the user's path:
ipopt
The neos solver manager supports solver interfaces that can be executed remotely on the NEOS optimization server. The following solver interfaces are available with your current system configuration:
bonmin Heuristic MINLP solver
cbc MILP solver
conopt Feasible path NLP solver
couenne Exact MINLP solver
cplex MILP solver
filmint Heuristic MINLP solver
filter SQP NLP solver
ipopt Interior point NLP solver
knitro Convex MINLP solver
l-bfgs-b Bound-constrained NLP solver
loqo Interior point NLP solver
minlp Heuristic MINLP solver
minos SLC NLP solver
minto MILP solver
mosek Interior point NLP solver
ooqp Convex QP solver
path Nonlinear MCP solver
snopt SQP NLP solver
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