A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse

The Floyd-Warshall algorithm, traditionally used for finding all-pairs shortest paths, faces challenges in large-scale warehouse settings due to its high time complexity. This paper proposed a hybrid improved Floyd-Warshall algorithm integrated with a path time window model for multi-agent systems in warehouse environments. Optimizing the Floyd algorithm by simplifying path network connections through the use of unidirectional agent routes and introducing a time window model to predict and avoid conflicts between agents. The integration of these techniques allows for the efficient calculation of shortest paths, minimizing collisions and improving task completion times. The effectiveness of the algorithm is verified through MATLAB simulations, demonstrating significant improvements in collision avoidance and overall task execution efficiency, with reductions in both path length and total completion time.

Authors

Institutions

Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019415
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse

Yutian Yang, Kezhen Yang, Luyue Zhang, Min Fang
Advanced Manufacturing and Logistics Optimization
article

A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse

Yutian Yang, Kezhen Yang, Luyue Zhang, Min Fang
article en

Abstract

The Floyd-Warshall algorithm, traditionally used for finding all-pairs shortest paths, faces challenges in large-scale warehouse settings due to its high time complexity. This paper proposed a hybrid improved Floyd-Warshall algorithm integrated with a path time window model for multi-agent systems in warehouse environments. Optimizing the Floyd algorithm by simplifying path network connections through the use of unidirectional agent routes and introducing a time window model to predict and avoid conflicts between agents. The integration of these techniques allows for the efficient calculation of shortest paths, minimizing collisions and improving task completion times. The effectiveness of the algorithm is verified through MATLAB simulations, demonstrating significant improvements in collision avoidance and overall task execution efficiency, with reductions in both path length and total completion time.

Chongqing University of Posts and Telecommunications (CN), University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 82%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.