A Bioinspired Geometric Modeling Approach Based on Curve Differential Growth
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58094-9_40
Reference20 articles.
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3. Darwish, A.: Bio-inspired computing: algorithms review, deep analysis, and the scope of applications. Futur. Comput. Inform. J. 3, 231–246 (2018). https://doi.org/10.1016/j.fcij.2018.06.001
4. Fister, I., Yang, X.-S., Fister, I., Brest, J., Fister, D.: A Brief Review of Nature-Inspired Algorithms for Optimization (2013). https://doi.org/10.48550/arXiv.1307.4186
5. Yang, X.-S.: Nature-inspired optimization algorithms: challenges and open problems. J. Comput. Sci. 46, 101104 (2020). https://doi.org/10.1016/j.jocs.2020.101104
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