A recommendation system approach to tune a QUBO solver

A recommendation system approach to tune a QUBO solver

There are two major challenges to solving constrained optimization problems using a QuadraticUnconstrained Binary Optimization or QUBO solver (QS). First, we need to tune both the underlyingproblem parameters and the algorithm parameters. Second, the solution returned from a QSmight not be feasible....

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Bibliographic Details
Main Authors: GOH, Siong Thye, BO, Jianyuan, PARIZY, Matthieu, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Artificial Intelligence and Robotics
Systems Architecture
Online Access:https://ink.library.smu.edu.sg/sis_research/7756
https://ink.library.smu.edu.sg/context/sis_research/article/8759/viewcontent/IJCAI_NASO_2022_A_Recommendation_System_Approach_to_Tune_a_QUBO_Solver.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7756
https://ink.library.smu.edu.sg/context/sis_research/article/8759/viewcontent/IJCAI_NASO_2022_A_Recommendation_System_Approach_to_Tune_a_QUBO_Solver.pdf

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