Learning for Robust Combinatorial Optimization: Algorithm and Application

Learning to optimize (L2O) has recently emerged as a promising approach to solving optimization problems by exploiting the strong prediction power of neural networks and offering lower runtime complexity than conventional solvers. While L2O has been applied to various problems, a crucial yet challen...

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Bibliographic Details

Published in:	Annual Joint Conference of the IEEE Computer and Communications Societies pp. 930 - 939
Main Authors:	Shao, Zhihui, Yang, Jianyi, Shen, Cong, Ren, Shaolei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 02.05.2022
Subjects:	Complexity theory Computational modeling Linear programming Neural networks Robustness Runtime Training
ISSN:	2641-9874
Online Access:	Get full text
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