A reinforcement learning-based metaheuristic algorithm for solving global optimization problems

•Metaheuristic algorithms find optimal solutions to global optimization problems in random search spaces.•It has been shown that reinforcement learning methods are more successful in finding new global areas than metaheuristic approaches, and have a more balanced behavior than metaheuristic methods....

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Bibliographic Details

Published in:	Advances in engineering software (1992) Vol. 178; p. 103411
Main Author:	Seyyedabbasi, Amir
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2023
Subjects:	Machine learning Metaheuristic algorithm Q-learning Reinforcement learning algorithm Sand cat swarm optimization Q-learning Sand cat swarm optimization Metaheuristic algorithm Reinforcement learning algorithm Machine learning
ISSN:	0965-9978
Online Access:	Get full text
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