Computational evaluation of ranking models in an automatic decomposition framework-Reference-Cited by-同舟云学术

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Computational evaluation of ranking models in an automatic decomposition framework

Published:2018-08 Issue: Volume:69 Page:245-252
ISSN:1571-0653
Container-title:Electronic Notes in Discrete Mathematics
language:en
Short-container-title:Electronic Notes in Discrete Mathematics

Author:

Basso Saverio,Ceselli Alberto

Funder

Università degli Studi di Milano

Regione Lombardia

Publisher

Elsevier BV

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics

Reference5 articles.

1. Automatic Dantzig—Wolfe reformulation of mixed integer programs;Bergner;Mathematical Programming A,2015

2. Experiments with a Generic Dantzig-Wolfe Decomposition for Integer Programs;Gamrath;LNCS,2010

3. Reformulation and decomposition of integer programs;Vanderbeck,2010

4. Random Sampling and Machine Learning to Understand Good Decompositions;Basso;Annals of Operations Research,2017

Cited by 4 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. Ranking constraint relaxations for mixed integer programs using a machine learning approach;EURO Journal on Computational Optimization;2023

2. A data driven Dantzig–Wolfe decomposition framework;Mathematical Programming Computation;2022-11-02

3. Distributed asynchronous column generation;Computers & Operations Research;2022-10

4. Computational Evaluation of Data Driven Local Search for MIP Decompositions;AIRO Springer Series;2019

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