A hybrid framework using a QUBO solver for permutation-based combinatorial optimization

In this paper, we propose a hybrid framework to solve large-scale permutation-based combinatorial problems effectively using a high-performance quadratic unconstrained binary optimization (QUBO) solver. To do so, transformations are required to change a constrained optimization model to an unconstra...

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Bibliographic Details
Main Authors: GOH, Siong Thye, GOPALAKRISHNAN, Sabrish, BO, Jianyuan, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5978
https://ink.library.smu.edu.sg/context/sis_research/article/6981/viewcontent/Goh__S._T.__Gopalakrishnan__S.__Bo__J.____Lau__H._C.__2020_._A_Hybrid_Framework_Using_a_QUBO_Solver_For_Permutation_Based_Combinatorial_Optimization.pdf
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Institution: Singapore Management University
Language: English