The growth in e-commerce that our society has faced in recent years is changing the view
companies have on last-mile logistics, due to its increasing impact on the whole supply …

Vehicle routing problems with time windows (VRPTW) have gained a lot of attention due to
their important role in real-life logistics and transport. As a result of the complexity of real-life …

Customized bus (CB) is an increasingly popular mode of transportation in many cities
around the world. However, studies on CB network design have mostly overlooked three …

The traveling salesman problem (TSP) consists of finding the shortest way between cities,
which passes through all cities and returns to the starting point, given the distance between …

This paper modeled and solved an integrated multi-depot vehicle routing problem (MDVRP)
with simultaneous pickup and delivery (SPD) with package layout under unpredictable …

Aiming at solving the vehicle routing problem, an improved genetic algorithm based on fuzzy
C‐means clustering (FCM) is proposed to solve the vehicle routing problem with capacity …

Considerable attention has been given to leverage a variety of smart city applications using
unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower …

Logistics is one of the primary areas of operation within cutting-edge supply chain
operations. In the e-commerce supply chain also logistics operations play a vital part. The …

In this paper, we design a routing scheduling framework for multi-task agent using
reinforcement learning. The objective is to employ an autonomous agent to cover the …

In order to overcome the limitations of the Pareto optimality in solving multi-objective
optimization problems, a new optimality definition, fuzzy optimality is proposed, which …