Introduces Λ-lr-QAOA and piecewise-ramp QAOA that promote penalty schedules to variational parameters and use a feasibility-driven loss on budget-constrained MWIS satellite planning instances.
Amaximumindependentsetmethodforscheduling earth-observing satellite constellations.Journal of Spacecraft and Rockets, 58(5):1416–1429
2 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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mQO combines differentiable QUBO optimization with mutation-based resets and local search to outperform heuristics and solvers on large-scale combinatorial problems by addressing stalling in local maxima.
citing papers explorer
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Feasibility-driven QAOA with penalty scheduling
Introduces Λ-lr-QAOA and piecewise-ramp QAOA that promote penalty schedules to variational parameters and use a feasibility-driven loss on budget-constrained MWIS satellite planning instances.
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Mutation-Guided Differentiable Quadratic Combinatorial Optimization
mQO combines differentiable QUBO optimization with mutation-based resets and local search to outperform heuristics and solvers on large-scale combinatorial problems by addressing stalling in local maxima.