Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks-Reference-Cited by-同舟云学术

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Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS)
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Author:

Zhang Yuntian¹,Chen Chen¹,Wu Tongyu¹,Miao Changhao¹,Ding Shuxin²

Affiliation:

1. School of Automation, Beijing Institute of Technology,Beijing,China,100081

2. Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited,Beijing,China,100081

Funder

Outstanding Youth Science Foundation

National Natural Science Foundations of China (NSFC)

Shanghai Municipal Commission of Science and Technology Project

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294323/10294356/10294635.pdf?arnumber=10294635

Reference35 articles.

1. Metaheuristics for Resource Deployment under Uncertainty in Complex Systems

2. Deploying Wireless Sensor Networks

3. A decision support system for locating weapon and radar positions in stationary point air defence

4. Optimal Camera Placement for Providing Angular Coverage in Wireless Video Sensor Networks

5. Sensor deployment and target localization based on virtual forces

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