Research on Intelligent Scheduling and Optimization Algorithm of Mobile Nursing

This study conducted an in-depth discussion on the intelligent scheduling and optimization algorithm of mobile nursing. By constructing an optimization model for cost minimization and resource maximization utilization, combined with heuristic algorithms, the scheduling efficiency and resource utilization were significantly improved. Specifically, through strategies such as parameter tuning, heuristic improvement, and parallel computing, the optimized algorithm performs well in key indicators such as cost control, resource consumption, and task completion time. Experimental results show that the optimized algorithm can maintain good performance under different task loads, especially under high load conditions. Through real data set testing, the robustness and broad applicability of the algorithm are verified. This research not only improves the efficiency of the mobile nursing system and provides solid technical support for practical applications, but also provides valuable theoretical foundation and practical experience for the further optimization and application of intelligent scheduling algorithms.