Multi-objective dynamic programming produces globally optimal Pareto fronts balancing ΔV and exoplanet yield for LEO nulling-interferometer observation schedules under realistic ConOps and observability constraints.
A deceptively easy problem,
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Stellar Observation Scheduling Optimization for Distributed Space Interferometry Missions
Multi-objective dynamic programming produces globally optimal Pareto fronts balancing ΔV and exoplanet yield for LEO nulling-interferometer observation schedules under realistic ConOps and observability constraints.