The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Robot Motion Planning: A Distributed Representation Approach
Barraquand, J., & Latombe, J.-C. (1991) · The International Journal of Robotics Research · doi:10.1177/027836499101000604 · Cited by 995
Rammal, R., Toulouse, G., & Virasoro, M. A. (1986) · Reviews of Modern Physics · doi:10.1103/revmodphys.58.765 · Cited by 756
Theory of Quantum Annealing of an Ising Spin Glass
Santoro, G. E., Martoňák, R., Tosatti, E., & Car, R. (2002) · Science · doi:10.1126/science.1068774 · Cited by 734
Development of a fuel consumption optimization model for the capacitated vehicle routing problem
Xiao, Y., Zhao, Q., Kaku, I., & Xu, Y. (2012) · Computers & Operations Research · doi:10.1016/j.cor.2011.08.013 · Cited by 636
Data mining and machine learning in astronomy
BALL, N. M., & BRUNNER, R. J. (2010) · International Journal of Modern Physics D · doi:10.1142/s0218271810017160 · Cited by 383
Phoenics: A Bayesian Optimizer for Chemistry
Häse, F., Roch, L. M., Kreisbeck, C., & Aspuru-Guzik, A. (2018) · ACS Central Science · doi:10.1021/acscentsci.8b00307 · Cited by 379
Optimal design of autonomous vehicle zones in transportation networks
Chen, Z., He, F., Yin, Y., & Du, Y. (2017) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2016.12.021 · Cited by 239
Merrikh-Bayat, F. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.04.048 · Cited by 134
AUIT – the Adaptive User Interfaces Toolkit for Designing XR Applications
Evangelista Belo, J. M., Lystbæk, M. N., Feit, A. M., Pfeuffer, K., Kán, P., Oulasvirta, A., & Grønbæk, K. (2022) · Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology · doi:10.1145/3526113.3545651 · Cited by 117
Metadata
- Authors
- Černý, V.
- Venue
- Journal of Optimization Theory and Applications
- Published
- 1985-01
- Volume
- 45
- Issue
- 1
- Pages
- 41-51
- ISSN
- 0022-3239 (ISSN-L)
- 1573-2878
- OpenAlex
- W2154061444
- Cited by
- 3,436
- References
- 1
- FWCI
- 17.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
