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The This paper presents an innovative approach to the Vehicle Routing Problem (VRP) by integrating smart locker technology and employing advanced AI algorithms—Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). This model enhances route flexibility and efficiency in urban logistics, accommodating dynamic route changes and real-time parcel rerouting to smart lockers. Our findings show that these algorithms significantly improve logistical operations, offering scalable solutions for contemporary delivery challenges.

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Artificial Intelligence Approach for Enhancing Vehicle Routing Problem Solutions: Integrating Smart Lockers for Dynamic Delivery and Pickup Operations

  • 会议论文

  • 发表日期：

    2025年

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  • Mohamed-Ali Ejjanfi,
  • Jamal Benhra

摘要

The This paper presents an innovative approach to the Vehicle Routing Problem (VRP) by integrating smart locker technology and employing advanced AI algorithms—Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). This model enhances route flexibility and efficiency in urban logistics, accommodating dynamic route changes and real-time parcel rerouting to smart lockers. Our findings show that these algorithms significantly improve logistical operations, offering scalable solutions for contemporary delivery challenges.