Enhancing a QUBO solver via data driven multi-start and its application to vehicle routing problem

Enhancing a QUBO solver via data driven multi-start and its application to vehicle routing problem

Quadratic unconstrained binary optimization (QUBO) models have garnered growing interests as a strong alternative modelling framework for solving combinatorial optimization problems. A wide variety of optimization problems that are usually studied using conventional Operations Research approaches ca...

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Bibliographic Details
Main Authors: SUEN, Whei Yeap, PARIZY, Matthieu, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
QUBO
optimization
vehicle routing
quantum-inspired
Computer Sciences
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/7624
https://ink.library.smu.edu.sg/context/sis_research/article/8627/viewcontent/3520304.3533988.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/7624
https://ink.library.smu.edu.sg/context/sis_research/article/8627/viewcontent/3520304.3533988.pdf

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