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Optimization by simulated annealing: Quantitative studies
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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
Mirjalili, S. (2015) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2015.01.010 · Cited by 3,233
Greedy Randomized Adaptive Search Procedures
Feo, T. A., & Resende, M. G. C. (1995) · Journal of Global Optimization · doi:10.1007/bf01096763 · Cited by 2,778
Greedy Randomized Adaptive Search Procedures
Resende, M. G. C., & Ribeiro, C. C. (2006) · International Series in Operations Research & Management Science · doi:10.1007/0-306-48056-5_8 · Cited by 2,310
Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning
Johnson, D. S., Aragon, C. R., McGeoch, L. A., & Schevon, C. (1989) · Operations Research · doi:10.1287/opre.37.6.865 · Cited by 1,457
Rätsch, G., Onoda, T., & Müller, K.-R. (2001) · Machine Learning · doi:10.1023/a:1007618119488 · Cited by 1,299
Rammal, R., Toulouse, G., & Virasoro, M. A. (1986) · Reviews of Modern Physics · doi:10.1103/revmodphys.58.765 · Cited by 756
A Comparative Analysis of Community Detection Algorithms on Artificial Networks
Yang, Z., Algesheimer, R., & Tessone, C. J. (2016) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-127494 · Cited by 685
Transmission dynamics and epidemiology of BSE in British cattle
Anderson, R. M., Donnelly, C. A., Ferguson, N. M., Woolhouse, M. E. J., Watt, C. J., Udy, H. J., MaWhinney, S., Dunstan, S. P., Southwood, T. R. E., Wilesmith, J. W., et al. (1996) · Nature · doi:10.1038/382779a0 · Cited by 600
A Comparative Analysis of Community Detection Algorithms on Artificial Networks
Yang, Z., Algesheimer, R., & Tessone, C. J. (2016) · Scientific Reports · doi:10.1038/srep30750 · Cited by 578
Fundamentals of phase-only liquid crystal on silicon (LCOS) devices
Zhang, Z., You, Z., & Chu, D. (2014) · Light: Science & Applications · doi:10.1038/lsa.2014.94 · Cited by 519
Quantum machine learning: a classical perspective
Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., & Wossnig, L. (2018) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2017.0551 · Cited by 518
Water Distribution Network Design Optimization: Simulated Annealing Approach
Cunha, M. D. C., & Sousa, J. (1999) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)0733-9496(1999)125:4(215 · Cited by 416
Anoune, K., Bouya, M., Astito, A., & Abdellah, A. B. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.05.032 · Cited by 382
Houssein, E. H., Gad, A. G., Wazery, Y. M., & Suganthan, P. N. (2021) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2021.100841 · Cited by 355
Towards Making Unlabeled Data Never Hurt
Li, Y.-F., & Zhou, Z.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2299812 · Cited by 318
Problem solving by intelligent water drops
Hosseini, H. S. (2007) · 2007 IEEE Congress on Evolutionary Computation · doi:10.1109/cec.2007.4424885 · Cited by 313
Ogbu, F. A., & Smith, D. K. (1990) · Computers & Operations Research · doi:10.1016/0305-0548(90)90001-n · Cited by 310
Stochastic method for analytic continuation of quantum Monte Carlo data
Sandvik, A. W. (1998) · Physical Review B · doi:10.1103/physrevb.57.10287 · Cited by 302
Oppositional biogeography-based optimization
Ergezer, M., Simon, D., & Du, D. (2009) · 2009 IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/icsmc.2009.5346043 · Cited by 300
Akbari, M. A., Zare, M., Azizipanah-abarghooee, R., Mirjalili, S., & Deriche, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-14338-z · Cited by 282
Lai, X., Gao, W., Zheng, Y., Ouyang, M., Li, J., Han, X., & Zhou, L. (2019) · Electrochimica Acta · doi:10.1016/j.electacta.2018.11.134 · Cited by 265
Generative Adversarial Networks for Crystal Structure Prediction
Kim, S., Noh, J., Gu, G. H., Aspuru-Guzik, A., & Jung, Y. (2020) · ACS Central Science · doi:10.1021/acscentsci.0c00426 · Cited by 265
A review of computational intelligence techniques in coral reef-related applications
Salcedo-Sanz, S., Cuadra, L., & Vermeij, M. J. A. (2016) · Ecological Informatics · doi:10.1016/j.ecoinf.2016.01.008 · Cited by 27
ElSayed, M., Foda, A., & Mohamed, M. (2024) · Transport Policy · doi:10.1016/j.tranpol.2023.10.002 · Cited by 19
Metadata
- Authors
- Kirkpatrick, S.
- Venue
- Journal of Statistical Physics
- Published
- 1984-03
- Volume
- 34
- Issue
- 5-6
- Pages
- 975-986
- ISSN
- 0022-4715 (ISSN-L)
- 1572-9613
- OpenAlex
- W2022306346
- Cited by
- 1,805
- References
- 1
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- closed
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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.