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.
Process Modeling a Radiation Oncology Clinic Workflow From Therapeutic Simulation to Treatment: Identifying Impending Strain and Possible Treatment Delays
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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.