The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
On the efficiency of chaos optimization algorithms for global optimization
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Cites
Deterministic Nonperiodic Flow
Lorenz, E. N. (1963) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2 · Cited by 19,398
Synchronization in chaotic systems
Pecora, L. M., & Carroll, T. L. (1990) · Physical Review Letters · doi:10.1103/physrevlett.64.821 · Cited by 10,625
Simple mathematical models with very complicated dynamics
May, R. M. (1976) · Nature · doi:10.1038/261459a0 · Cited by 7,001
Improved particle swarm optimization combined with chaos
Liu, B., Wang, L., Jin, Y.-H., Tang, F., & Huang, D.-X. (2005) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2004.11.095 · Cited by 947
(2009) · Encyclopedia of Neuroscience · doi:10.1007/978-3-540-29678-2_965 · Cited by 926
Chaotic simulated annealing by a neural network model with transient chaos
Chen, L., & Aihara, K. (1995) · Neural Networks · doi:10.1016/0893-6080(95)00033-v · Cited by 661
Recent developments and trends in global optimization
Pardalos, P. M., Romeijn, H. E., & Tuy, H. (2000) · Journal of Computational and Applied Mathematics · doi:10.1016/s0377-0427(00)00425-8 · Cited by 229
Application of chaos in simulated annealing
Ji, M., & Huanwen, T. (2004) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2003.12.032 · Cited by 212
Global optimization methods for engineering applications: A review
Arora, J. S., Elwakeil, O. A., Chahande, A. I., & Hsieh, C. C. (1995) · Structural and Multidisciplinary Optimization · doi:10.1007/bf01743964 · Cited by 157
Global searching ability of chaotic neural networks
Chen, L., & Aihara, K. (1999) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/81.780378 · Cited by 134
Cited by
Optimal power flow: a bibliographic survey I: Formulations and deterministic methods
Frank, S., Steponavice, I., & Rebennack, S. (2012) · Energy Systems · doi:10.1007/s12667-012-0056-y · Cited by 554
Chaotic whale optimization algorithm
Kaur, G., & Arora, S. (2018) · Journal of Computational Design and Engineering · doi:10.1016/j.jcde.2017.12.006 · Cited by 533
Gandomi, A. H., & Yang, X.-S. (2014) · Journal of Computational Science · doi:10.1016/j.jocs.2013.10.002 · Cited by 508
Feature selection via a novel chaotic crow search algorithm
Sayed, G. I., Hassanien, A. E., & Azar, A. T. (2019) · Neural Computing and Applications · doi:10.1007/s00521-017-2988-6 · Cited by 459
Optimal power flow: a bibliographic survey II: Non-deterministic and hybrid methods
Frank, S., Steponavice, I., & Rebennack, S. (2012) · Energy Systems · doi:10.1007/s12667-012-0057-x · Cited by 294
Metadata
- Authors
- Yang, D., Li, G., & Cheng, G.
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 34
- Issue
- 4
- Pages
- 1366-1375
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W1989574099
- Cited by
- 414
- References
- 17
- FWCI
- 9.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yang, D., Li, G., & Cheng, G. (2007). On the efficiency of chaos optimization algorithms for global optimization. Chaos, Solitons & Fractals. https://doi.org/10.1016/j.chaos.2006.04.057
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.