Optimizing Vascular Robot Acquisition and Utilization through Hybrid Genetic Algorithm and Time Series Forecasting

This study presents a comprehensive approach for optimizing the acquisition, utilization, and maintenance of ABLVR vascular robots in healthcare settings. It introduces a novel strategy that combines mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting to efficiently solve the optimization problem.