A Novel Approach Based on Reinforcement Learning for Finding Global Optimum

ISSN Print: 2325-7105
ISSN Online: 2325-7091
www.scirp.org/journal/ojop
E-mail: ojop@scirp.org

"A Novel Approach Based on Reinforcement Learning for Finding Global Optimum"
written by Cenk Ozan, Ozgur Baskan, Soner Haldenbilen,
published by Open Journal of Optimization, Vol.6 No.2, 2017

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[1]	An evolutionary variant of Q-learning applied to derivative-free optimization AIAA AVIATION 2023 Forum, 2023 DOI:10.2514/6.2023-4262

[2]	An evolutionary variant of Q-learning applied to derivative-free optimization AIAA AVIATION 2023 Forum, 2023 DOI:10.2514/6.2023-4262

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[4]	Design Approach of a Wideband Non-Uniformly Spaced Linear Array Based on Reinforcement Learning to Suppress Multiple Interference Signals The Journal of Korean Institute of Electromagnetic Engineering and Science, 2022 DOI:10.5515/KJKIEES.2022.33.10.811