Swarm-Based Optimization with Random Descent
Author:
Funder
U.S. Naval Research Laboratory
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10440-024-00639-0.pdf
Reference24 articles.
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2. Boyd, S.P., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)
3. Carrillo, J.A., Choi, Y.-P., Totzeck, C., Tse, O.: An analytical framework for consensus-based global optimization method. Math. Models Methods Appl. Sci. 28(06), 1037–1066 (2018)
4. Carrillo, J.A., Jin, S., Li, L., Zhu, Y.: A consensus-based global optimization method for high dimensional machine learning problems. ESAIM Control Optim. Calc. Var. 27, S5 (2021)
5. Grassi, S., Huang, H., Pareschi, L., Qiu, J.: Mean-field particle swarm optimization. In: Weizhu Bao, B.P., Markowich, P.A., Tadmor, E. (eds.) Modeling and Simulation for Collective Dynamics, pp. 127–194. World Scientific, Singapore (2023)
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