Decomposition Methods for Global Solution of Mixed-Integer Linear Programs-Reference-Cited by-同舟云学术

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Decomposition Methods for Global Solution of Mixed-Integer Linear Programs

Published:2024-04-01 Issue:2 Volume:34 Page:1206-1235
ISSN:1052-6234
Container-title:SIAM Journal on Optimization
language:en
Short-container-title:SIAM J. Optim.

Author:

Sun Kaizhao¹^ORCID,Sun Mou²,Yin Wotao³^ORCID

Affiliation:

1. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA, and Decision Intelligence Lab, DAMO Academy, Alibaba Group (US), Bellevue, WA 98004 USA.

2. Decision Intelligence Lab, DAMO Academy, Alibaba Group, Hangzhou, Zhejiang, China.

3. Decision Intelligence Lab, DAMO Academy, Alibaba Group (US), Bellevue, WA 98004 USA.

Funder

Alibaba (US) Innovation Research

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference66 articles.

1. Mixed Integer Programming: Analyzing 12 Years of Progress

2. Stochastic Lipschitz dynamic programming

3. A finite branch-and-bound algorithm for two-stage stochastic integer programs

4. On Augmented Lagrangian Methods with General Lower-Level Constraints

5. Improving the Integer L-Shaped Method

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