NPROS: A Not So Pure Random Orthogonal search algorithm—A suite of random optimization algorithms driven by reinforcement learning-Reference-Cited by-同舟云学术

NPROS: A Not So Pure Random Orthogonal search algorithm—A suite of random optimization algorithms driven by reinforcement learning

Published:2023-07-11 Issue: Volume: Page:
ISSN:1862-4472
Container-title:Optimization Letters
language:en
Short-container-title:Optim Lett

Author:

Hameed A. S. Syed Shahul^ORCID,Rajagopalan Narendran^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s11590-023-02038-0.pdf

Reference25 articles.

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3. Locatelli, M., Schoen, F.: Global optimization: theory, algorithms, and applications. Society for Industrial and Applied Mathematics, (2013)

4. Rastrigin, L.A.: The convergence of the random search method in the extremal control of a many parameter system. Automat. Remote Control 24, 1337–1342 (1963)

5. Matyas, J.: Random optimization. Automat. Remote control 26(2), 246–253 (1965)

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