Quadratic Unconstrained Binary Optimization for the Automotive Paint Shop Problem-Reference-Cited by-同舟云学术

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Quadratic Unconstrained Binary Optimization for the Automotive Paint Shop Problem

Published:2023 Issue: Volume:11 Page:97769-97777
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Debevere Pieter¹^ORCID,Sugimura Masahiko¹^ORCID,Parizy Matthieu¹^ORCID

Affiliation:

1. Fujitsu Ltd., Kawasaki, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10246152.pdf?arnumber=10246152

Reference29 articles.

1. Path relinking for unconstrained binary quadratic programming

2. Comparing Solution Combination Techniques in Scatter Search for Quadratic Unconstrained Binary Optimization

3. HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS

4. Multistart Tabu Search and Diversification Strategies for the Quadratic Assignment Problem

5. Third generation digital annealer technology;nakayama,0

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A3TUM: Automated Tabu Tenure Tuning by Unique Move for Quadratic Unconstrained Binary Optimization;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

2. Design of Routes for Collaborative Robots in the Automobile Painting Process through a Comparison of Perturbative Heuristics for Iterated Local Search;Computación y Sistemas;2024-06-29

3. An Efficient Closed-Form Formula for Evaluating r-Flip Moves in Quadratic Unconstrained Binary Optimization;Algorithms;2023-12-05

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