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Solving Real-World Linear Programs: A Decade and More of Progress
Abstract
This paper is an invited contribution to the 50th anniversary issue of the journal Operations Research, published by the Institute of Operations Research and Management Science (INFORMS). It describes one person's perspective on the development of computational tools for linear programming. The paper begins with a short personal history, followed by historical remarks covering the some 40 years of linear-programming developments that predate my own involvement in this subject. It concludes with a more detailed look at the evolution of computational linear programming since 1987.
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Cited by
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Morales-Espana, Latorre, J. M., & Ramos, A. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2251373 · Cited by 419
Cambero, C., & Sowlati, T. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.04.041 · Cited by 352
How Fast Do Algorithms Improve? [Point of View]
Sherry, Y., & Thompson, N. C. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3107219 · Cited by 14
Metadata
- Authors
- Bixby, R. E.
- Venue
- Operations Research
- Published
- 2002-02
- Volume
- 50
- Issue
- 1
- Pages
- 3-15
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2139559439
- Cited by
- 386
- References
- 0
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
