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Batch Optimization

Batch optimization is a feature available with the Gurobi Cluster Manager. It allows a client program to build an optimization model, submit it to a Compute Server cluster (through a Cluster Manager), and later check on the status of the model and retrieve its solution. Once a batch is submitted to the Cluster Manager, it is identified through a unique BatchID. The client program (or any other program) can use this ID to query the BatchStatus of the batch (submitted, completed, etc.). Once the batch has completed and a solution is available, the client can retrieve that solution as a JSON string.

This section explains the steps required to perform the various tasks listed above. We'll use the batchmode.py Python example, which is included with the distribution, to illustrate these steps.

• Setting Up a Batch Environment
• Tagging Variables or Constraints
• Submitting a Batch Optimization Request
• Interacting with Batch Requests
• Interpreting the JSON Solution
• A Complete Example

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Next: Setting Up a Batch Up: Gurobi Optimizer Reference Manual Previous: Limitations and Additional Considerations