A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Huang:2019:SSCI,
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author = "Zhixing Huang and Chengyu Lu and Jinghui Zhong",
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booktitle = "2019 IEEE Symposium Series on Computational
Intelligence (SSCI)",
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title = "A Multi-Objective Hyper-Heuristic for Unmanned Aerial
Vehicle Data Collection in Wireless Sensor Networks",
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year = "2019",
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pages = "1614--1621",
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abstract = "Monitoring dangerous regions is one of the most
important applications of wireless sensor networks.
Limited by the danger of monitoring regions and the
battery power of sensors, unmanned aerial vehicles
(UAVs) are often used to collect data in such
applications. How to properly schedule the movement of
UAVs to efficiently collect data is still a challenging
problem to be solved. In this paper, we formulate the
UAV scheduling problem as a multi-objective
optimization problem and design a genetic programming
based hyper-heuristic framework to solve the problem.
The simulation results show that our method can provide
very promising performance in comparison with several
state-of-the-art methods.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/SSCI44817.2019.9002862",
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month = dec,
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notes = "Also known as \cite{9002862}",
- }
Genetic Programming entries for
Zhixing Huang
Chengyu Lu
Jinghui Zhong
Citations