Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems-Reference-Cited by-同舟云学术

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Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
Short-container-title:

Author:

Xu Dian¹,Zhou Mengchu²,Yuan Haitao³

Affiliation:

1. Institute of Systems Engineering, Macau University of Science and Technology,Macao,China

2. New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,USA

3. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394471.pdf?arnumber=10394471

Reference53 articles.

1. MO4: A Many-objective Evolutionary Algorithm for Protein Structure Prediction

2. A Multiobjective Evolutionary Algorithm Based on Similarity for Community Detection From Signed Social Networks

3. Cyber-Physical Data Fusion in Surrogate-assisted Strength Pareto Evolutionary Algorithm for PHEV Energy Management Optimization

4. Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm

5. Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical Diffusion Teaching-Learning-Based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization;Lecture Notes in Computer Science;2024

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