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

Vy Le, Oliver Harold Joegensen, Tin Nguyen, Khang Nguyen Hoang, Ginel Dorleon

2025

Abstract

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.

Paper Citation

in Harvard Style

Le V., Joegensen O., Nguyen T., Hoang K. and Dorleon G. (2025). Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 158-165. DOI: 10.5220/0013098400003890

in Bibtex Style

@conference{icaart25,
author={Vy Le and Oliver Joegensen and Tin Nguyen and Khang Hoang and Ginel Dorleon},
title={Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={158-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013098400003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency
SN - 978-989-758-737-5
AU - Le V.
AU - Joegensen O.
AU - Nguyen T.
AU - Hoang K.
AU - Dorleon G.
PY - 2025
SP - 158
EP - 165
DO - 10.5220/0013098400003890
PB - SciTePress