Häftad, Engelska, 2025
Satellite Scheduling Engine
General-Purpose Modeling and Intelligent Optimization Methods
Av Yonghao Du, Lining Xing, Lei Li
Del i serien De Gruyter STEM
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Beskrivning
Produktinformation
- Utgivningsdatum: 2025-03-31
- Mått: 170 x 240 x undefined mm
- Vikt: 478 g
- Format: Häftad
- Språk: Engelska
- Serie: De Gruyter STEM
- Antal sidor: 269
- Förlag: De Gruyter
- ISBN: 9783111535999
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Mer om författaren
Yonghao Du received the B.S. degree from the Southeast University, China, in 2015. and the M.S. degree and Ph.D. degree from the National University of Defense Technology, Changsha, China, in 2017 and 2021, respectively. He is currently an associate professor with the College of Systems Engineering, National University of Defense Technology, China. He is suppoted by the Youth Support Funds of China Association for Science and Technology and the National Natural Science Foundation of China. His research interests include intelligent optimization, resource scheduling, and mission planning. His satellite scheduling engine and algorithms introduced in this book have been applied to real-world satellites operation and management. Lining Xing received the double B.S. degrees in economics and science from Xian Jiaotong University, Shanxi, China, in 2002, and the Ph.D. degree in management science from the National University of Defense Technology, Changsha, China, in 2009. He is currently a Professor with the School of Electronic Engineering, Xidian University. His research interests include intelligent optimization, resource scheduling, and mission planning. He is the recipient of the National Excellent Ph.D. Dissertation of China Award, in 2014, the Excellent Talent Support Program 736 in New Century from the Ministry of Education, China, and the Funds for Distinguished Young Scientists from the Natural Science Foundation of Hunan. Li Lei was born in 2001. He received his B.S. degree from National University of Defense Technology, Changsha, China, in 2023, where he is currently pursuing the Ph. D. degree in management science with the College of Systems Engineering. His research interests include intelligent optimization and mission scheduling.
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