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Quantum-Inspired Optimization for Efficient Satellite Placement

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Challenges
  • Optimizing the placement of 40 satellites across 10 targets while minimizing computational complexity for maximum coverage
  • Collision risks and increased debris
  • Achieving faster convergence
  • Managing orbital constraints and inter-satellite dependencies efficiently

Results

  • QIO ~4× faster than GA, even with more generations
  • ‍Parallelized and balanced search improves solution efficiency
  • ‍Stable performance at scale (40 satellites, 10 targets)
  • ‍Outperforms GA in complex, mission-critical scenarios

QIO improves optimization results

4x faster convergence

‍

Improved coverage
Maintained speed and stability at scale
Go Beyond Classical Limits.
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