What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO
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DOI: 10.1287/ijoc.2017.0798
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References listed on IDEAS
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Cited by:
- Fred Glover & Gary Kochenberger & Rick Hennig & Yu Du, 2022. "Quantum bridge analytics I: a tutorial on formulating and using QUBO models," Annals of Operations Research, Springer, vol. 314(1), pages 141-183, July.
- Ricardo N. Liang & Eduardo A. J. Anacleto & Cláudio N. Meneses, 2022. "Data structures for speeding up Tabu Search when solving sparse quadratic unconstrained binary optimization problems," Journal of Heuristics, Springer, vol. 28(4), pages 433-479, August.
- Cheng Lu & Zhibin Deng & Shu-Cherng Fang & Wenxun Xing, 2023. "A New Global Algorithm for Max-Cut Problem with Chordal Sparsity," Journal of Optimization Theory and Applications, Springer, vol. 197(2), pages 608-638, May.
- Timotej Hrga & Janez Povh, 2021. "MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM," Computational Optimization and Applications, Springer, vol. 80(2), pages 347-375, November.
- Theja Tulabandhula & Deeksha Sinha & Saketh Reddy Karra & Prasoon Patidar, 2020. "Multi-Purchase Behavior: Modeling, Estimation and Optimization," Papers 2006.08055, arXiv.org, revised Aug 2023.
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Keywords
computational testing; reproducible research; heuristics; quadratic unconstrained binary optimization; Max-Cut; hyper-heuristics; test bed; interpretable machine learning;All these keywords.
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