Learning to Solve Optimization Problems With Hard Linear Constraints
Constrained optimization problems have appeared in a wide variety of challenging real-world problems, where constraints often capture the physics of the underlying system. Classic methods for solving these problems relied on iterative algorithms that explored the feasible domain in the search for th...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10147810/ |