Refactor `ex1_linan_2023` to fix benchmark issues - Githubissues

SECQUOIA / gdplib

An open library of Generalized Disjunctive Programming (GDP) models

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Refactor `ex1_linan_2023` to fix benchmark issues #65

Open tristantc opened 2 weeks ago

tristantc commented 2 weeks ago

Description

This Issue aims to address and refactor the ex1_linan_2023 model to fix benchmark issues as outlined in Issue #60.

Solution strategy causing issues:

[x] Big-M MINLP reformulation
[ ] Hull MINLP reformulation
[ ] GLOA
[x] Enumeration
[ ] LOA
[ ] LBB
[ ] RIC

Branch

This PR targets the benchmark_zd branch.

Steps to Reproduce

Run the benchmark tests for the ex1_linan_2023 model before applying the changes.
Apply the changes from this PR.
Re-run the benchmark tests to verify performance improvements.

Notes

Ensure that all sub-solvers are tested thoroughly after refactoring.
Additional optimizations may be required based on benchmark results.

Feel free to adjust any details as necessary before submitting the PR.