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Space Launch Mission Planning Technology Based on Particle Swarm Optimization
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Jing CHUN1, Yang LI2, Jun YANG2
Missiles and Space Vehicles | 2024, 47(6) : 47 - 53
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Missiles and Space Vehicles | 2024, 47(6): 47-53
• Launch Support •
Space Launch Mission Planning Technology Based on Particle Swarm Optimization
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Jing CHUN1, Yang LI2, Jun YANG2
Affiliations
  • 1 Technical Department of Taiyuan Satellite Launch Center,Taiyuan,030027
  • 2 College of Intelligence Science and Technology,National University of Defense Technology,Changsha,410073
Published: 2024-12-25 doi: 10.7654/j.issn.2097-1974.20240608
Outline
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With the continuous development of science and technology, space launch has entered a new stage of development, and the research of space launch mission planning technology has been deepened. The current progress and advanced technology of space launch mission planning are mainly discussed, including the mission planning stage, process and significance, and the analysis of the current difficult problems is focused. The relevant opinions and suggestions are put forward. The future development trend is looked forward to, and finally the improved particle swarm algorithm is adopted to simulate and analyze the launch selection, and the experimental results show that the adopted algorithm effectively solves the problem, and is able to provide a plan with low launch cost and high launch success rate at the same time.

space launch  /  task planning  /  particle swarm optimization algorithm  /  emergency launch  /  satellite
Jing CHUN, Yang LI, Jun YANG. Space Launch Mission Planning Technology Based on Particle Swarm Optimization[J]. Missiles and Space Vehicles, 2024 , 47 (6) : 47 -53 . DOI: 10.7654/j.issn.2097-1974.20240608
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Article Info
doi: 10.7654/j.issn.2097-1974.20240608
  • Receive Date：2024-01-22
  • Online Date：2025-07-04
  • Published：2024-12-25
Article Data
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History
  • Received：2024-01-22
  • Revised：2024-07-23
Funding
Affiliations
    1 Technical Department of Taiyuan Satellite Launch Center,Taiyuan,030027
    2 College of Intelligence Science and Technology,National University of Defense Technology,Changsha,410073
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表12种不同金属材料的力学参数
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Number of
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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