Optimizing on-demand food delivery with BDI-based multi-agent systems and Monte Carlo tree search scheduling

Optimizing on-demand food delivery with BDI-based multi-agent systems and Monte Carlo tree search scheduling

Abstract On-demand food delivery services are a rapidly expanding sector within the logistics industry, yet optimizing delivery routes in real-time remains a significant challenge, particularly in high-demand and complex environments. This gap hinders operational efficiency and customer satisfaction...

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Bibliographic Details
Main Authors: Li Liu, Shikun Chen, Huan Jin, Xiaoying Deng, Yangguang Liu, Yang Lin
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Multi-agent system
Belief-desire-intention
Monte Carlo tree search
On-demand food delivery
Route optimization
Online Access:https://doi.org/10.1038/s41598-025-10371-w
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https://doi.org/10.1038/s41598-025-10371-w

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