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Št. zadetkov: 5
End-of-line delivery vehicle routing optimization based on large-scale neighbourhood search algorithms considering customer-consumer delivery location preferences
X. Y. Niu, S. F. Liu, Q. L. Huang
Izvirni znanstveni članek
Oznake: distribution;vehicle routing;optimization;path optimization;end-of-line;large-scale neighbourhood search algorithm;
Logistics is an important guarantee for economic and social development. Among the various aspects of logistics, the urban logistics end distribution link, which involves the direct connection between distribution personnel and customers, has a direct impact on customers' sense of experience and sat ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Last-mile delivery optimization considering the demand of market distribution methods
Q. L. Huang, W. J. Wang, X. J. Liang, L. Xu, X. Y. Niu, X. Y. Yang
Izvirni znanstveni članek
Oznake: transportation;last mile;Adaptive Large Neighborhood Search (ALNS);market demand;logistics;distribution;optimization;heuristic algorithms;
Based on the current situation and problems of transportation "last mile" transportation distribution, this paper establishes a path optimization model based on user distribution methods from the perspective of market preference for transportation distribution methods, designs an Adaptive Large Neig ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Privacy-preserving AI-based framework for container transportation demand forecasting in sea-rail intermodal systems
L. Huang, D. Y. Jiang, T. Bai
Izvirni znanstveni članek
Oznake: prevoz tovora;kontejnerski transport;napovedovanje transportnih zahtev;razporejanje;umetna inteligenca;strojno učenje;intermodalni transport;freight demand forecasting;container transportation demand forecasting;vertical federated learning;privacy-preserving methods;sample and feature selection;machine learning;homomorphic encryption;resource allocation and scheduling;
In response to the growing demand for accurate freight forecasting in sea-rail intermodal transportation, particularly under the constraints of stringent data protection regulations, we introduce a privacy-preserving, AI-based framework that focuses on the micro-level identification of container tra ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
ǂAn ǂimproved deep reinforcement learning approach
T. Ai, L. Huang, R. J. Song, H. F. Huang, F. Jiao, W. G. Ma
Izvirni znanstveni članek
Oznake: bulk cargo terminal;scheduling;optimisation;Markov decision process (MDP) model;deep reinforcement learning;prioritised experience replay and softmax strategy-based dueling;double deep Q-network;
The cornerstone of port production operations is ship handling, necessitating judicious allocation of diverse production resources to enhance the efficiency of loading and unloading operations. This paper introduces an optimisation method based on deep reinforcement learning to schedule berths and y ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Spatial position recognition method of semi-transparent and flexible workpieces
Q. L. Bi, M. L. Lai, K. Chen, J. M. Liu, H. L. Tang, X. B. Teng, Y. Y. Guo
Izvirni znanstveni članek
Oznake: strojni vid;procesiranje slik;pametna proizvodnja;machine vision;image processing;visual recognition;feature matching;imaging quality;red light;translucent and flexible workpieces;infusion tube drip bucket;smart manufacturing;
In the automatic sorting process, overlapping translucent and flexible workpieces on the conveyor belt, blurring the imaging edge features of translucent and flexible workpieces is a challenge to locate the upper and lower workpieces spatially, we propose a method for locating translucent and flexib ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 5
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