A survey for solving mixed integer programming via machine learning

Machine learning (ML) has been recently introduced to solving optimization problems, especially for combinatorial optimization (CO) tasks. In this paper, we survey the trend of leveraging ML to solve the mixed-integer programming problem (MIP). Theoretically, MIP is an NP-hard problem, and most CO p...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 519; pp. 205 - 217
Main Authors:	Zhang, Jiayi, Liu, Chang, Li, Xijun, Zhen, Hui-Ling, Yuan, Mingxuan, Li, Yawen, Yan, Junchi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.01.2023
Subjects:	Combinatorial optimization Machine learning Mixed integer programming Combinatorial optimization Mixed integer programming Machine learning
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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