Yanjie Song, Yue Zhang, Yonghao Du, Witold Pedrycz, Ponnuthurai Nagaratnam

Broschiertes Buch

Collaborative Scheduling for Electromagnetic Detection Satellites

Model and Reinforcement Learning-Based Evolutionary Algorithms

Beschreibung

Collaborative Scheduling for Electromagnetic Detection Satellites focuses on the models and algorithms related to electromagnetic detection satellite scheduling problems. The main content of this book is divided into five major parts. The first part is an overview, which provides the background and the current state of development. The second part is the basic model of cooperative scheduling and the framework of learning evolutionary algorithms. The third part examines cooperative scheduling of homogeneous electromagnetic detection satellites for stationary target detection. The fourth part reviews research on cooperative planning of heterogeneous electromagnetic detection satellites for low-speed moving target detection. The fifth and final part examines cooperative scheduling of heterogeneous electromagnetic detection satellites for high-speed moving target detection. The book provides an in-depth introduction to the electromagnetic detection satellite problem for readers

Autor

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

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 250
• Erscheinungstermin: 1. März 2026
• Englisch
• ISBN-13: 9780443451034
• ISBN-10: 0443451036
• Artikelnr.: 75036897