Papers

Research Record

Papers & citations

Use this page to cite the published Local-MIP papers and to choose the software version that matches the experiments you want to reproduce.

JournalArtificial Intelligence 2025
ConferenceCP 2024 Best Paper Award
ReproductionLocal-MIP 1.0 archive
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Published experiments

The CP 2024 and Artificial Intelligence 2025 papers report experiments obtained with Local-MIP 1.0. Use the archived v1.0.1 release when reproducing those results.

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Current software

The current public repository provides the 2.x codebase with C++/Python APIs, callback hooks, examples, tests, and the MIT license. Cite the published papers for the Local-MIP algorithmic work, and cite the repository when referring to the current software implementation.

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Publications

Published Local-MIP papers

Conference Paper CP 2024 Best Paper Award

An Efficient Local Search Solver for Mixed Integer Programming

Peng Lin, Mengchuan Zou, Shaowei Cai

The CP 2024 paper is the conference version of the Local-MIP work and received the Best Paper Award at CP 2024.

DOI Publisher page Award certificate
BibTeX

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Artificial Intelligence 2025

@article{LIN2025104405, title = {Local-MIP: Efficient local search for mixed integer programming}, journal = {Artificial Intelligence}, volume = {348}, pages = {104405}, year = {2025}, issn = {0004-3702}, doi = {https://doi.org/10.1016/j.artint.2025.104405}, author = {Peng Lin and Shaowei Cai and Mengchuan Zou and Jinkun Lin} }

CP 2024

@InProceedings{lin_et_al:LIPIcs.CP.2024.19, author = {Lin, Peng and Zou, Mengchuan and Cai, Shaowei}, title = {An Efficient Local Search Solver for Mixed Integer Programming}, booktitle = {30th International Conference on Principles and Practice of Constraint Programming (CP 2024)}, pages = {19:1--19:19}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-336-2}, ISSN = {1868-8969}, year = {2024}, volume = {307}, editor = {Shaw, Paul}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, doi = {10.4230/LIPIcs.CP.2024.19}, annote = {Keywords: Mixed Integer Programming, Local Search, Constraint Programming} }
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