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pro vyhledávání: '"Pirayesh, Amir"'
This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, the framework allows for continuous adaptation by temporarily excluding
Externí odkaz:
http://arxiv.org/abs/2408.14864
Publikováno v:
In Omega October 2024 128
Publikováno v:
In Computers & Industrial Engineering February 2023 176
Publikováno v:
In IFAC PapersOnLine 2023 56(2):713-718
Publikováno v:
In Omega December 2022 113
Autor:
Mohri, Seyed Sina, Mohammadi, Mehrdad, Gendreau, Michel, Pirayesh, Amir, Ghasemaghaei, Ali, Salehi, Vahid
Publikováno v:
In European Journal of Operational Research 1 October 2022 302(1):1-38
Publikováno v:
In Computers & Industrial Engineering February 2022 164
Publikováno v:
In IFAC PapersOnLine 2022 55(10):157-162
Publikováno v:
Journal of Intelligent Manufacturing; Jun2024, Vol. 35 Issue 5, p2065-2118, 54p
Autor:
Karimi-Mamaghan, Maryam, Mohammadi, Mehrdad, Pirayesh, Amir, Karimi-Mamaghan, Amir Mohammad, Irani, Hassan
Publikováno v:
In Transportation Research Part E October 2020 142