Research on Weighted Adaptive Particle Swarm Optimization Al-gorithm Based on Flink Stream Processing Framework-Reference-Cited by-同舟云学术

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Research on Weighted Adaptive Particle Swarm Optimization Al-gorithm Based on Flink Stream Processing Framework

Published:2024-01-12 Issue: Volume:37 Page:48-52
ISSN:
Container-title:2024 3rd International Conference on Big Data, Information and Computer Network (BDICN)
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Author:

Li Zhengwei¹,Cui Jiannan¹,Song Haotian¹,Fan Tiecheng¹

Affiliation:

1. Dalian Maritime University,Faculty of Information Science and Technology,Dalian,Liaoning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605178/10605179/10605181.pdf?arnumber=10605181

Reference12 articles.

1. Dynamic load balancing strategy for data flow based on load perception[J];Ziyang;Journal of Computer Applications,2017

2. Research on task scheduling optimization of Flink for container environment[J];Shan;Computer Engineering and Science,2021

3. Research and implementation of load balancing algorithm in heterogeneous Flink cluster[J];Zhifeng;Journal of Nanjing University (Natural Science),2021

4. A particle swarm optimization algorithm with improved inertia weigh t[J];Wen;Modern Information Science and Technology,2023

5. Resource-aware Task Scheduling Strategy Based on Flink Platform[J];Lijuan;Journal of Northeast Normal University: Natural Science Edition,2020

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