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Related Experiment Video

Updated: Aug 31, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A Time-Dependent Vehicle Routing Problem for Instant Delivery Based on Memetic Algorithm.

Shuxian Cui1, Qian Sun1, Qian Zhang1

  • 1School of E-business and Logistics, Beijing Technology and Business University, Beijing 100048, China.

Computational Intelligence and Neuroscience
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for instant delivery route planning, balancing cost and customer satisfaction in urban logistics. A novel algorithm optimizes delivery routes considering traffic and customer time windows.

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Area of Science:

  • Operations Research
  • Logistics and Supply Chain Management
  • Transportation Science

Background:

  • Instant delivery is crucial for same-city online-to-offline (O2O) services and urban short-distance logistics.
  • Effective route planning must balance delivery costs with customer satisfaction.
  • Dynamic traffic conditions significantly impact delivery efficiency and scheduling.

Purpose of the Study:

  • To develop a vehicle routing problem (VRP) model for instant delivery.
  • To incorporate two distinct customer time windows into the VRP model.
  • To account for time-dependent road networks in route optimization.

Main Methods:

  • Proposed a novel vehicle routing problem model tailored for instant delivery scenarios.
  • Integrated two types of customer time windows to enhance delivery flexibility.
  • Developed a memetic algorithm, combining genetic algorithms and variable neighborhood search, for efficient problem-solving.

Main Results:

  • The proposed model and algorithm effectively addressed the complexities of instant delivery routing.
  • Comparative analysis across different time periods validated the algorithm's performance.
  • Sensitivity analysis confirmed the model's robustness regarding customer time windows.

Conclusions:

  • The developed VRP model and memetic algorithm provide an effective solution for optimizing instant delivery.
  • The approach successfully balances cost, customer satisfaction, and dynamic traffic conditions.
  • This research offers a valuable tool for improving urban logistics and O2O service efficiency.