Linear Programming Survey
Table 13
| Product | New Features (since June 2015): | Other Techniques (available as part of the package): | Comments / Description: |
| AIMMS | Forecasting Library, R integration, Collaborative Data Management, Improved Outer Approximation and Multi-Start, and more | AIMMS Cloud Platform, Tableau Integration, Extended charting and workflow in WebUI, and more | AIMMS is used by AirLiquide, GE, Heineken etc. to deploy optimization Apps across their organizations for better decision making by end users |
| AMPL | New QuanDec interface builder creates a web-based, multi-user app for sharing, analyzing, and deploying your AMPL models. | Integrated scripting language; nonlinear function library with automatic 1st & 2nd derivatives; user-defined functions | AMPL is designed for quick development & reliable deployment. It combines a powerful modeling language with access to the most advanced solvers. |
| AMPL API | Released a corrective version of the API with many bug fixes, these has been tested against a large number of examples. | Each API has been implemented following the idioms of the target languages. This approach makes the tool developer friendly. | A set of APIs to interact with AMPL: Java, MATLAB, C++, C#, Python, R. they enable execution control, model instantiation and interrogation. |
| AMPLDev | Generic and dynamic data instantiation using SQL and MDDB layer; followed by data visualisation and display of model outputs. | Stochastic extensions of AMPL are included also retaining features of AMPL. It is bundled with SP and SIP solver FortSP. | Contains IDE, Data connectivity, modeling support for an established AML. Includes advanced features: workspace management and model exploration. |
| Analytic Solver | Five major releases: Apache Spark, Power BI, Tableau, RASON support; simulation, data mining enhancements; cloud integration. | Comprehensive analytics: Conventional and stochastic optimization, simulation and risk analysis, data mining, text mining. | Best-selling Excel Solver upgrade now offers comprehensive analytics, integrates with Big Data, cloud versions, SDK, RASON modeling and REST API. |
| Analytica Optimizer | Visual hierarchical influence diagrams; Intelligent multi-D array abstraction; Uncertainty & sensitivity analysis. | Add-on solver engines also available: Frontline engines (LSLP, LSGRG, LSSQP) Gurobi, Knitro, XPress, Mosek, OptQuest. | |
| AnalyticSolver.com | New as of September 2016, enhanced each calendar quarter thereafter. | Comprehensive analytics: Conventional and stochastic optimization, simulation and risk analysis, data mining, text mining. | Leading cloud platform for predictive and prescriptive analytics (50,000 users Q1 2017) inter-operates with desktop Excel, Solver SDK and RASON. |
| Artelys Knitro | MISQP algorithm, R interface, Specialized Least Square API, Hessian derivative-checker | Derivative-free optimization, black box optimization | Professional support provided by Artelys experts |
| Bonmin | |||
| Bonmin | |||
| Cbc (COIN-OR Branch and Cut) | |||
| Clp (COIN-OR LP Solver) | |||
| CMPL (<Coliop|Coin> Mathematical Programming Language) | Plug-in for SolverStudio, Cmpl is bundled with the SolverStudio package, see: http://solverstudio.org/languages/cmpl-2/ | The CMPL distribution contains Coliop (IDE for Cmpl), pyCmpl and jCmpl (APIs for Python and Java). | The package contains also CMPLServer, which is an XML-RPC-based web service for distributed and grid optimisation. |
| CoinMP Open-Source Solver | CoinMP release 1.8 offers new library interfaces and algorithmic updates. Linux/UNIX versions with automake/configure support | CoinMP is available as precompiled CoinMP.dll and CoinMP.so (Linux/Unix) libraries that can be easily embedded into projects. | CoinMP is a free open-source C-API interface library that includes the CLP (Coin LP), CBC (Branch and Cut), and CGL (Cut Generation) projects. |
| Couenne | |||
| Dip (Decomposition in Inteeger Programming) | A decomposition-based solver and modeling language supporting column generation and advanced decomposition-based algorithms. | ||
| Dippy | |||
| FICO® Xpress Optimization Suite | Parallel innovations: task based mip search, parallel crossover, parallel black-box and derivative evaluations. | Rapid development of web-based optimization apps, no web programming needed. Integrates with Tableau® for visualization. | Xpress is a comprehensive set of fast solvers with modeling and optimization solution building, deployment and management - on cloud and on prem. |
| FortSP | Branch and cut addition to SIP processing capability. The enhanced solver has been tested on SSD long/short portfolio models. | Benders method refined by using level decomposition and other regularization approaches. Models are set up via SMPS standard. | FortSP uses L-shaped method to process single stage and two-stage stochastic programming models. The embedded solvers are: CPLEX, Gurobi, FortMP. |
| GAMS | https://www.gams.com/latest/docs/releasenotes/24.8.html | Mixed complementarity problems (MCP), Extended Mathematical Programs (EMP) | |
| GCG | new and improved primal heuristics, cutting planes, and column management | GCG is a generic Branch-Cut-and-Price solver for mixed integer programs. It is based on SCIP and part of the SCIP Optimization Suite. | |
| GENO 2.0 | Now solves systems of linear/nonlinear equations; it also accommodates real discrete variables and specific search points. | GENO solves uni-/multi-agent, static/dynamic optimization problems, with or without equation constraints, for continuous or discrete solutions. | |
| GIPALS32 | |||
| GLPK (GNU Linear Programming Kit) | |||
| hsol | New product | Presolve, crash and advanced basis start | Terms of open-source availability yet to be decided. Source is available on application |
| IBM Decision Optimization on Cloud | IBM Decision Optimization on Cloud is a solve service on IBM HW with different VM sizes/access | ||
| IBM ILOG CPLEX Optimization Studio | model assistance, variability tester, automated benders decomposition, cloud solve service, object-oriented Python API | modeling/solving for scheduling | CPLEX Optimization Studio features a Development Env. for OPL and 2 engines, CPLEX (math progr.), CPOptimizer (constraint progr., scheduling) |
| IBM Decision Optimization Center | IBM Decision Optimization Center contains IBM ILOG CPLEX Optimization Studio(Eclipse plugin),server component, enduser GUI | ||
| Ipopt | |||
| JuMP | Syntax improvements, user-defined nonlinear functions, semidefinite programming. | Fast and extensible open-source algebraic modeling language. | |
| LINDO API | AllDifferent constraint support. Improved performance on fixed charge/min batch size/cardinality constraints. | Stochastic & Chance Constraints, Guaranteed Global, Nonlinear Least Squares | Suite of fast callable solvers for creating customized linear, integer, nonlinear, quadratic, stochastic and global optimization applications. |
| LINGO | AllDifferent constraint support. Improved performance on fixed charge/min batch size/cardinality constraints. | Stochastic & Chance Constraints, Guaranteed Global, Nonlinear Least Squares | Fast linear, integer, nonlinear, quadratic, stochastic and global solvers and a comprehensive modeling language with convenient data options. |
| LocalSolver | Dynamic roadmap to deliver new features and performance improvements: two versions per year released since 2012. | LocalSolver integrates many different optimization techniques automatically combined through learning during the search. | LocalSolver is an all-terrain, all-in-one mathematical solver, for large-scale, real-life combinatorial and numerical optimization. |
| LOQO | |||
| LPL Modeling System | |||
| MATLAB and Optimization Toolbox | Improved speed and robustness for mixed-integer, linear, quadratic and nonlinear solvers. | Linear and nonlinear least squares and nonlinear equation solving. | Combine Optimization Toolbox with MATLAB data preprocessing, predictive modeling, and graphics to build and deploy optimization applications. |
| MibS (Mixed Integer Bilevel Solver) | Supports solution of general mixed integer bilevel linear programs | ||
| MOSEK Optimization Suite | Version 8 was released in 2016. | ||
| MPL Modeling System | New MPL release 6.0, offers a large MPL C-API Callable Library with over 500 functions, and full support for Multi-threading | New MPL REST Server allows MPL to be called from online web, mobile and tablet applications with support for JSON/XML data. | Maximal offers full-size development copies of MPL for FREE, through our MPL Free Development and MPL Academic Programs. |
| OMP Plus | Leading integrated, interactive and intelligent Supply Chain Planning solution from strategic level to operational level. | ||
| OpenSolver | Improved non-linear support. Available for Macintosh as well as Windows. Better solver integration. Usability enhancements. | Open source Excel plug-in for building & solving optimization models in spreadsheets. Comes with open source solvers. Supports Gurobi & NEOS. | |
| OpenSolver for Google Sheets | Newly released product. | A plug-in for solving linear and integer programmes using Google Sheets. Supports multiple solvers. | |
| OptiMax Component Library | New release MPL Optimax with extensive new objects, full multi-threaded support, and ability to import JSON/XML data formats. | With the new MPL REST Server, OptiMax models can now easily be deployed on Web sites and Mobile/Tablet application platforms | MPL OptiMax is an Object-Oriented Component Library, designed for embedding optimization models into end-user applications and online services. |
| ParaSCIP, FiberSCIP | Implemented by using Ubiquity Generator Framework(UG).(http://ug.zib.de) | ||
| Pulp | supported by and part of https://www.coin-or.org/ | ||
| Pyomo | Releases 4.1, 4.2 , 4.3, 4.4, 5.0 and 5.1. Added support for Python 3.6, support for new solvers and conda installation. | Pyomo is an open-source software package that supports a diverse set of capabilities for formulating and analyzing optimization problems. | |
| RASON: Restful Analytic Solver Object Notation | Major releases in March 2017, mid 2016, early 2017. Modeling language enhanced, higher performance in every Solver Engine. | Monte Carlo simulation, simulation optimization, robust optimization, stochastic optimization, rich data mining, text mining. | RASON models, embedded in JSON and solved in the cloud via a REST API, radically simplify the creation of optimization-based web and mobile apps. |
| SAS Optimization 8.1 | New offering. MILP: distributed concurrent mode. Network optimization: 2 distrib. algorithms, distrib. BY-group processing. | Part of SAS Viya platform. Integrated with broad suite of products for descriptive and predictive analytics and data exploration/visualization. | |
| SAS/OR 14.2 | Solver algorithms performance improvements. Added features for network algorithms, CLP algorithm, and local search algorithm. | Discrete-event simulation, critical path and resource-constrained scheduling, bill of material analysis. | Integrated with full spectrum of SAS analytic products and solutions. Note: additional license required for distributed features. |
| SCIP | https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/6217, https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId | available as package together with LP solver SoPlex, modeling language ZIMPL, generic branch-and-price solver GCG, massive parallel framework UG | |
| Solver for Excel Online and Google Sheets | New user interface tuned for tablets and browsers; automatic algebraic diagnosis of optimization models; new reports. | Primarily for cloud use, but also works in latest desktop Excel versions. | First cloud spreadsheet Solver (mid 2013), the leading optimization tool for Excel Online and Google Sheets, with over 125,000 users in Q1 2017. |
| Solver SDK | Major releases in 2016 and 2017; new support for R, Python and RASON; higher performance in every Solver Engine. | Monte Carlo simulation, simulation optimization, robust optimization, stochastic linear programming. | The only SDK/callable library that can open, modify and solve Excel and RASON optimization models, as well as models in 8 programming languages. |
| SolverStudio | Now also supports Julia/JUMP | Use modelling languages such as AMPL, Julia/JUMP, PuLP, Pyomo & GAMS to build & solve optimization models within Excel. | |
| SoPlex | LP solution polishing, decomposition based dual simplex, persistent scaling | ||
| SYMPHONY | |||
| The Gurobi Optimizer | Support for multiple objectives, MIP solution pools and new general constraints. Significant python modeling enhancements. | Compute Server w/client-server, queuing & fail-over capabilities. Instant Cloud w/easy instance launch & manage capabilities. | Superior optimization algorithms, flexible interfaces, technical support from optimization experts, transparent pricing and flexible licensing. |
| UG: FiberSCIP and ParaSCIP | UG is a generic framework to parallelize SCIP in a distributed (ParaSCIP) or shared memory (FiberSCIP) computing environment. | ||
| Vanguard System | Vanguard's optimzation capaiblity is integrated in our flagship planning and forecasting application, Vanguard IBP. | Vanguard is used by over 3,400 customers in 68 countries and for supply chain, finance, sales, human capital, IT, and advanced analytics. | |
| What'sBest! | AllDifferent constraint support. Improved performance on fixed charge/min batch size/cardinality constraints. | Stochastic & Chance Constraints, Guaranteed Global, Nonlinear Least Squares | What'sBest! is a large scale optimization add-in for Excel; powerful enough for real world models and ideal for building models for clients. |
| XA Professional Linear Programming System | Raspberry Pi Edition in support of Internet Of Things (IoT) | Supports 32/64bit IoT micro-controllers | |
| ZIMPL | GNU LGPL license |
Linear Programming Software Survey Pages:
Introduction | Page 1 | Page 2 | Page 3 | Page 4 | Page 5 | Page 6| Page 7 | Page 8| Page 9 | Page 10 | Page 11 | Page 12 | Page 13 | Vendor List | Accompanying Article