Transfer Learning for Operator Selection: A Reinforcement Learning Approach

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...

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Bibliographic Details
Main Authors: Rafet Durgut, Mehmet Emin Aydin, Abdur Rakib
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Algorithms
Subjects:
transfer learning
reinforcement learning
adaptive operator selection
artificial bee colony
Online Access:https://www.mdpi.com/1999-4893/15/1/24

Internet

https://www.mdpi.com/1999-4893/15/1/24

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