The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research
Abstract
It has been over a decade since neural networks were first applied to solve combinatorial optimization problems. During this period, enthusiasm has been erratic as new approaches are developed and (sometimes years later) their limitations are realized. This article briefly summarizes the work that has been done and presents the current standing of neural networks for combinatorial optimization by considering each of the major classes of combinatorial optimization problems. Areas which have not yet been studied are identified for future research.
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Cites
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Cited by
Machine learning for combinatorial optimization: A methodological tour d'horizon
Bengio, Y., Lodi, A., & Prouvost, A. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.07.063 · Cited by 195
The brain's connective core and its role in animal cognition
Shanahan, M. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0128 · Cited by 115
Low depth mechanisms for quantum optimization
McClean, J. R., Harrigan, M. P., Mohseni, M., Rubin, N. C., Jiang, Z., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2020) · arXiv · doi:10.48550/arxiv.2008.08615 · Cited by 45
Metadata
- Authors
- Smith, K. A.
- Venue
- INFORMS Journal on Computing
- Published
- 1999-02
- Volume
- 11
- Issue
- 1
- Pages
- 15-34
- ISSN
- 0899-1499 (ISSN-L)
- 1091-9856
- 1526-5528
- OpenAlex
- W2117666205
- Cited by
- 401
- References
- 116
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
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