An Easy Way to Build Parallel State-of-the-art Combinatorial Optimization Problem Solvers: A Computational Study on Solving Steiner Tree Problems and Mixed Integer Semidefinite Programs by using ug[SCIP-*,*]-Libraries-Reference-Cited by-同舟云学术

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An Easy Way to Build Parallel State-of-the-art Combinatorial Optimization Problem Solvers: A Computational Study on Solving Steiner Tree Problems and Mixed Integer Semidefinite Programs by using ug[SCIP-*,*]-Libraries

Published:2019-05 Issue: Volume: Page:
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Container-title:2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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Author:

Shinano Yuji,Rehfeldt Daniel,Gally Tristan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8765855/8778198/08778206.pdf?arnumber=8778206

Cited by 6 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. Using Parallel Branch-and-Bound Method to Accelerate Solving Mixed Integer Linear Programming;2024 7th World Conference on Computing and Communication Technologies (WCCCT);2024-04-12

2. Enabling Research through the SCIP Optimization Suite 8.0;ACM Transactions on Mathematical Software;2023-06-15

3. Linearization and parallelization schemes for convex mixed-integer nonlinear optimization;Computational Optimization and Applications;2022-01-20

4. CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems;2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC);2021-12

5. The Impact and Implications of Optimization;Business Optimization Using Mathematical Programming;2021

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