Transfer Learning for Operator Selection: A Reinforcement Learning Approach
In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a parameter or a strategy. Some online and offline stra...
Main Authors: | Rafet Durgut, Mehmet Emin Aydin, Abdur Rakib |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/15/1/24 |
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