A tailored quantum-inspired genetic algorithm matches a classical genetic algorithm's schedule fitness with smaller population caps, but is slower, more variable, and only tested without code or repeated-seed statistics.
In-gantry or remote patient positioning? Monte Carlo simulations for proton therapy centers of different sizes
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Quantum-Inspired Genetic Optimization for Patient Scheduling in Radiation Oncology
A tailored quantum-inspired genetic algorithm matches a classical genetic algorithm's schedule fitness with smaller population caps, but is slower, more variable, and only tested without code or repeated-seed statistics.