Forecasting Parcel Pickup Point Load Using Markov Jump Process
Predicting the load of Parcel Pickup Points is crucial for efficient management and customer satisfaction.
Solving Real-World Package Delivery Routing with Quantum Annealers
Introducing Q4RPD, a quantum-classical hybrid solver for real-world package delivery routing problems.
Reinforcement Learning Guided Hybrid Evolutionary Algorithm for Latency Location Routing Problem
Proposing a novel algorithm combining reinforcement learning and evolutionary strategies to solve the latency location routing problem efficiently.
Efficiency Analysis of Combi-Stations in Robotic Mobile Fulfilment Systems
Combi-stations in RMFS streamline warehouse operations, reducing robot requirements and order turnover time.
Bin Packing Optimization via Deep Reinforcement Learning: A Novel Approach
Optimizing bin packing using deep reinforcement learning for increased efficiency and accuracy.
Resilient Fleet Management Strategy for Energy-Aware Intra-Factory Logistics
Utilizing prior knowledge of the search space enhances fleet management resilience in real-time operations.
A Multi-population Integrated Approach for Capacitated Location Routing by He, Hao, and Wu
Proposing a hybrid genetic algorithm with multi-population to solve the capacitated location-routing problem efficiently.
Imitation-regularized Optimal Transport on Networks: Enhancing Robustness in Logistics Planning
The author explores the concept of imitation-regularized optimal transport (I-OT) on networks to enhance robustness in logistics planning by imitating prior distributions and minimizing costs. The study aims to provide a comprehensive understanding of the implications and applications of I-OT in network systems.
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