A uniform sampling method for permutation space
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-06039-9.pdf
Reference23 articles.
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3. Chong, H. Y., Yap, H. J., Tan, S. C., Yap, K. S., & Wong, S. Y. (2021). Advances of metaheuristic algorithms in training neural networks for industrial applications. Soft Computing, 25(16), 11209–11233. https://doi.org/10.1007/s00500-021-05886-z
4. Chi, H., Mascagni, M., & Warnock, T. (2005). On the optimal Halton sequence. Mathematics and Computers in Simulation, 70(1), 9–21. https://doi.org/10.1016/j.matcom.2005.03.004
5. Cicirello, V. A. (2022). On fitness landscape analysis of permutation problems: From distance metrics to mutation operator selection. Mobile Networks and Applications, 1–11. https://doi.org/10.1007/s11036-022-02060-z.
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