A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system

This paper proposes a multi-algorithm approach to optimize human resources workload balancing in last-mile urban delivery systems. The methodology aims to improve operational efficiency and resource allocation by intelligently distributing tasks, leading to better delivery times and reduced costs.