An Improved SD-Jaya Algorithm for Multi-Objective Edge Computing Problem in IRS-Aided Charging Electric Vehicular Networks-Reference-Cited by-同舟云学术

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An Improved SD-Jaya Algorithm for Multi-Objective Edge Computing Problem in IRS-Aided Charging Electric Vehicular Networks

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
language:
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Author:

Song Xin¹,Wang Yu¹,Zhang Runfeng¹,Xu Siyang¹,Zhang Yuqi¹,Xie Zhigang¹

Affiliation:

1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao,Qinhuangdao,China

Funder

National Nature Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hebei Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294564.pdf?arnumber=10294564

Reference15 articles.

1. A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid

2. Internet of Things Based Smart Grids Supported by Intelligent Edge Computing

3. On Location Privacy-Preserving Online Double Auction for Electric Vehicles in Microgrids

4. A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid

5. Contract-Based Charging Protocol for Electric Vehicles With Vehicular Fog Computing: An Integrated Charging and Computing Perspective

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