Particle Swarm Optimization on Deep Q-Learning Algorithm for Disaster Backup Transmission in Data Center Networks

A novel hybrid DQN-PSO algorithm is proposed for disaster backup in data center networks, enhancing exploration performance and avoiding premature convergence for high-dimensional scenarios.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10810003
Citations
2
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.49
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article

Particle Swarm Optimization on Deep Q-Learning Algorithm for Disaster Backup Transmission in Data Center Networks

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2 citations
Brain Tumor Detection and Classification
0.49
article

Particle Swarm Optimization on Deep Q-Learning Algorithm for Disaster Backup Transmission in Data Center Networks

Jiayuan Hu, Hao Liu, Min Gao, Weihua Cao, Lin He
article en
2 citations

Abstract

A novel hybrid DQN-PSO algorithm is proposed for disaster backup in data center networks, enhancing exploration performance and avoiding premature convergence for high-dimensional scenarios.

China Telecom (China) (CN), China Telecom (CN)
Climate action
Openalex Percentile: Top 32%
Brain Tumor Detection and Classification
0.49
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