Four Good Reasons to Use an Interior Point Solver Within a MIP Solver-Reference-Cited by-同舟云学术

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Four Good Reasons to Use an Interior Point Solver Within a MIP Solver

Published:2018 Issue: Volume: Page:159-164
ISSN:0721-5924
Container-title:Operations Research Proceedings
language:
Short-container-title:

Author:

Berthold Timo,Perregaard Michael,Mészáros Csaba

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-89920-6_22

Reference22 articles.

1. Achterberg, T. (2010). LP basis selection and cutting planes.

2. Baena, D., & Castro, J. (2011). Using the analytic center in the feasibility pump. Operations Research Letters, 39(5), 310–317.

3. Bajgiran, O. S., Cire, A. A., & Rousseau, L. -M. (2017). A first look at picking dual variables for maximizing reduced cost fixing. In International Conference on AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (pp. 221–228). Springer.

4. Ben-Ameur, W., & Neto, J. (2007). Acceleration of cutting-plane and column generation algorithms: Applications to network design. Networks, 49(1), 3–17.

5. Berthold, T. (2013). Measuring the impact of primal heuristics. Operations Research Letters, 41(6), 611–614.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cutting Plane Selection with Analytic Centers and Multiregression;Integration of Constraint Programming, Artificial Intelligence, and Operations Research;2023

2. References;Integer Programming;2020-09-19

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