Guide for evaluators - Xpress: Advanced optimization tasks

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Building on the introductory Guide for evaluators this document provides a framework for

evaluating advanced optimization tasks with FICOTM Xpress. In particular, this guide shows you

how to:

1. Parameterize and tune optimization algorithms.

2. Interact with the solvers through callback functions.

3. Obtain multiple solutions.

4. Analyze and handle infeasibility.

5. Exchange data in memory.

6. Work on a distributed architecture.

7. Control the remote execution of Mosel models without any local Xpress installation.

All examples in this guide are provided as Xpress-Mosel models (Evaluation Scenario 1). Where

applicable, we also explain how to perform the same tasks with Xpress-BCL (Evaluation Scenario