Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency

Elevators play a pivotal role in modern urban living, boosting productivity and convenience efficiently. In elevator systems, the optimization of Multi-Agent Systems (MAS) is indispensable as it enhances agent coordination, adaptability, delay reduction, client satisfaction, and resource use. In this paper, we introduce an algorithm based on SARL MAS designed to enhance elevator controller performance. Our approach compares Centralized and Distributed Agent Systems, demonstrating the superiority of Distributed Agent Systems due to their improved responsiveness, efficiency, and adaptability. Our findings provide valuable insight into the use of SARL MAS not only for elevator control but also for other applications such as queue management systems and resource allocation in computing, highlighting the benefits of a distributed approach.<p></p>