Collaborative Scheduling for Electromagnetic Detection Satellites
Model and Reinforcement Learning-Based Evolutionary Algorithms
- 1st Edition - February 24, 2026
- Latest edition
- Authors: Yanjie Song, Yue Zhang, Yonghao Du, Witold Pedrycz, Lining Xing
- Language: English
Collaborative Scheduling for Electromagnetic Detection Satellites: Model and Reinforcement Learning-based Evolutionary Algorithms focuses on the models and algorithms relate… Read more
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Description
Description
Final sections examine cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. Readers will find this to be an in-depth introduction to electromagnetic detection satellite problems.
Key features
Key features
- Highlights Collaborative Scheduling for Electromagnetic Detection Satellites
- Provides the first book to address the problem of scheduling for electromagnetic detection satellites
- Presents a new model of construction and algorithms
- Contains a large volume of pseudo-code for readers to use
- Includes simulation experiments that can be used by researchers for comparative reference
Readership
Readership
Table of contents
Table of contents
1.1 Background
1.2 Meaning of the Research
1.3 Related work
1.4 Main Content and Innovations
1.5 Structure of this Book
2. Basic Model and Learning-based Evolutionary Algorithm Framework for Electromagnetic Detection Satellite Cooperative Scheduling Problem
2.1 Overview of Cooperative Scheduling for Electromagnetic Detection Satellites
2.2 Overview of Industrial Application processing Flow
2.3 Basic Model of Cooperative Detection Scheduling
2.4 Learning-based Evolutionary Algorithm Framework
2.5 Chapter Summary
3. Homogeneous Electromagnetic Detection Satellites Cooperative Scheduling Model and Algorithm for Stationary Target Detection
3.1 Problem Description and Analysis
3.2 Stationary Target Cooperative Detection Scheduling Model
3.3 Adaptive Operator Selection based Evolutionary Algorithm (AOSEA)
3.4 Simulation Experiments and Analysis
3.5 Chapter Summary
4. Heterogeneous Electromagnetic Detection Satellites Cooperative Scheduling Model and Algorithm for Low-speed Moving Target Detection
4.1 Problem Description
4.2 Low-speed Moving Target Cooperative Detection Scheduling Model
4.3 Solving Algorithm
4.4 Simulation Experiments
4.5 Chapter Summary
5. Heterogeneous Electromagnetic Detection Satellites Cooperative Scheduling Model and Algorithm for High-speed Moving Target Detection
5.1 Problem Description and Analysis
5.2 High-speed Moving Target Cooperative Detection Scheduling Model
5.3 Learning Adaptive-based Evolutionary Algorithm (LAEA)
5.4 Simulation Experiments and Analysis
5.5 Chapter Summary
6. Summary and Future Work
6.1 Summary of the Book
6.2 Future Work Conclusion
Product details
Product details
- Edition: 1
- Latest edition
- Published: February 27, 2026
- Language: English
About the authors
About the authors
YS
Yanjie Song
Dr Yanjie Song is an Assistant Professor at the National Engineering Research Center of Maritime Navigation System, Dalian Maritime University in China. He has published more than 50 papers, authored four academic books and been awarded nine National Invention Patents. He is the Associate Editor of the International Journal on Interactive Design and Manufacturing, Guest Editor of the Swarm and Evolutionary Computation and Guest Editor of the Computers & Electrical Engineering. He is also the reviewer of the IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Applied Soft Computing, Neural Computing and Applications and more than 30 other journals. His research interests include computational intelligence, evolutionary algorithm, combinatorial optimization, and deep reinforcement learning
YZ
Yue Zhang
Yue Zhang is undertaking PhD research at the School of Reliability and Systems Engineering, Beihang University, Beijing, China. In 2023, she received national funding to pursue a joint Ph.D. program at the Department of Industrial and Systems Engineering, National University of Singapore, Singapore. Her research focus is on the O&M of swarm systems under uncertainty: modeling, algorithms, and validation. She has published over 20 journal papers and is a reviewer for several leading journals, including IEEE Transactions on Vehicular Technology, Expert Systems with Applications, Renewable & Sustainable Energy Reviews, Swarm and Evolutionary Computation
YD
Yonghao Du
WP
Witold Pedrycz
LX