WELCOME

You have successfully installed version 8.0 of the Gurobi Optimizer.

You'll find instructions for setting up your Gurobi license in this document, as well as a list of supported platforms, and Release Notes and guidelines for converting existing Gurobi code to run with this new version. Once you have finished browsing this document, you should refer to the Quick Start Guide, the Example Tour, the Reference Manual, or the Remote Services Reference Manual to get started using the Gurobi Optimizer.

Obtaining Your License

To obtain a Gurobi 8 license, you will need to visit the Gurobi License Center. If you are a commercial user under maintenance, you should see your Gurobi 8 license under Current Gurobi Licenses. If you would like to request a free academic license, you can do so from the Free Academic License page. Once you have a license on the Gurobi web site, you will need to follow the instructions for installing a license in the Quick Start Guide.

Supported Platforms for Version 8.0

Platform	Operating System	Compiler	Notes
Windows 64-bit (win64)	Windows 7, Windows 10, Windows Server 2008 R2, Windows Server 2012 R2, Windows Server 2016	Visual Studio 2015	Use gurobi_c++md2015.lib (e.g.) for C++
Windows 64-bit (win64)	Windows 7, Windows 10, Windows Server 2008 R2, Windows Server 2012 R2, Windows Server 2016	Visual Studio 2017	Use gurobi_c++md2017.lib (e.g.) for C++
Linux® x86-64 64-bit (linux64)	Red Hat® Enterprise Linux 6.7-6.9, 7.2-7.4	GCC 4.4/4.8
	SUSE® Enterprise Linux 11, 12	GCC 4.3/4.4/4.8
	Ubuntu® 14.04, 16.04, 17.10, 18.04	GCC 4.6/4.8	Use libgurobi_g++5.2.a for C++ in Ubuntu 16.04, 17.10, and 18.04
Mac OS 64-bit (mac64)	Mac OS X 10.11 (El Capitan), 10.12 (Sierra), 10.13 (High Sierra)	Xcode 7/8	Use libgurobi_stdc++.a for -stdlib=libstdc++ in C++
AIX® 64-bit (power64)	AIX 7.1	XL C/C++ 9	Due to limited Python support on AIX, this port does not include the Interactive Shell or the Python libraries.

Our Python® interface supports Python versions 2.7, 3.5 and 3.6. Our MATLAB® interface supports MATLAB versions R2013a through R2018a. Our R interface supports R version 3.4.

Release Notes for Version 8.0

In addition to performance enhancements, Gurobi 8.0 adds several new features:

Compute Server: Gurobi Compute Server has been significantly enhanced. It now uses standard communication protocols (HTTP and HTTPS), and it includes a number of new features (which are described below).
Instant Cloud: The new Compute Server features are leveraged and exposed in the new Gurobi Instant Cloud. Additional details are provided below.
Enhanced R and MATLAB APIs: Our R and MATLAB APIs have been significantly improved. They now provide nearly all of the capabilities of the other Gurobi APIs; in particular, the improved interfaces support all of the different modeling features (e.g., multi-objective, general constraints, etc.) that are available in the other APIs.
Support for problem-based modeling in MATLAB: You can use the Gurobi solvers to solve models built using MATLAB's new problem-based modeling.
Support for .NET Core 2.0: We have added support for .NET Core on Windows, Linux and Mac platforms. This allows .NET programs to run on more than just Windows systems.
Faster linear constraint addition in Python: The new addLConstr method provides a quicker way to add linear constraints to a model.
Partition heuristic: We've added a new MIP heuristic that performs local search within user-specified partitions. You can use the new Partition attribute and PartitionPlace parameter to control this new heuristic.
Multiple MIP Starts: We have added support for multiple MIP starts. You can use the new NumStart attribute and StartNumber parameter to specify these starts.
Callbacks for multi-objective optimization: We now support user callbacks during optimization for each objective. We have also added a new callback at the end of optimization for each objective.

The following is a complete list of the new attributes in Version 8.0:

NumStart: Number of MIP starts in the model.
Partition: Allows you to specify a partition for each variable in the model, for use in the new partition improvement heuristic.

The following is a complete list of the new parameters in Version 8.0:

StartNumber: Selects the index of the MIP start you want to work with.
PartitionPlace: Indicates when the new partition heuristic should be run.

The following provides a more complete description of the new Compute Server and Instant Cloud features. Please refer to Remote Services Reference Manual for additional details.

Compute Server:

Now packaged and installed as a separate component.
Supports HTTP and HTTPS protocols for improved security, ease of deployment, and robustness.
New clustering features that allow nodes to be added to and removed from clusters dynamically.
Commands that list the nodes that form a cluster, with their statuses and CPU/Memory metrics.
Commands that list running jobs, queued jobs, and completed jobs.
Commands that display log information for running and recently completed jobs.
Commands that display MIP/BARRIER/Simplex progress information for running and recently completed jobs.
Commands that display changed parameters for running and recently completed jobs.
Commands that allow you to submit jobs to only a subset of the nodes in a cluster.
Ability to start Gurobi Remote Services as a Service on Mac and Linux in addition to Windows.
New cluster REST API that allows you to programmatically list nodes, list jobs, kill jobs, access job log files, etc.

Instant Cloud: The features of the compute server are leveraged and exposed in the new Instant Cloud.

Better Security and easier integration with HTTPS.
Active Job List (list of jobs queued, running and recently completed).
Active Job Dashboard (display status, log, parameters and metrics of jobs).
Job History (keep job history and logs for the last 3 months).
Pool Scaling (dynamically add/remove machines to pool).
Machine Metrics (display CPU/Memory usage on each machine).
Idle Job Timeout (disconnect jobs with no activity).
Extended REST API.

Code Conversion from Version 7.5

Programs that were originally written for version 7.5 of the Gurobi Optimizer generally won't require any code changes to use version 8.0. If you'd like to use the new features, some code changes are required.

Acknowledgements

We would like to thank Jim Orlin for sharing his ideas on local improvement in MIP, which contributed to our new partitioning heuristic. We would also like to thank Alexandra Newman for her helpful comments on the numerical issues documentation.

License Agreement

Note that this software is covered by the Gurobi End User License Agreement. By completing the Gurobi installation process and using the software, you are accepting the terms of this agreement.

Thank you for using Gurobi products!