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Peer-reviewedCC BYSensors (Basel, Switzerland)

Hybrid Constraint-Aware Genetic Optimization for Structurally Coupled Resource Allocation, User Scheduling, and Grouping: An SBMA Case Study

  • Xiangyu Yang1
  • Jianjian Wu2
  • Jun Wang3
  1. 1School of Science and Engineering, , Huainan 232001, China
  2. 2School of Computer Science and Information Engineering, , Hefei 230601, China
  3. 3School of Mechanical Engineering, , Quzhou 324000, China
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Cite

BibTeXRIS
BibTeX
@article{yang2026hybrid,
  title = {{Hybrid Constraint-Aware Genetic Optimization for Structurally Coupled Resource Allocation, User Scheduling, and Grouping: An SBMA Case Study}},
  author = {Xiangyu Yang and Jianjian Wu and Jun Wang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13708897},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Hybrid Constraint-Aware Genetic Optimization for Structurally Coupled Resource Allocation, User Scheduling, and Grouping: An SBMA Case Study
AU  - Xiangyu Yang
AU  - Jianjian Wu
AU  - Jun Wang
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13708897
SN  - 1424-8220
ER  -