This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …

In the COVID-19 pandemic, it is essential to transport medical supplies to specific locations
accurately, safely, and promptly on time. The application of drones for medical supplies …

Abstract The Vehicle Routing Problem with Simultaneous Pickup–Delivery and Time
Window (VRPSPDTW) is an important logistics distribution problem. Due to the complexity of …

This article systematically reviews the literature on adaptive large neighborhood search
(ALNS) to gain insights into the operators used for vehicle routing problems (VRPs) and their …

Global warming is a serious problem presently faced by human society, and CO 2 is a major
concern as a greenhouse gas (GHG), especially as the amount of atmospheric CO 2 has …

The vehicle routing problem is an optimization problem that deals with transporting between
the depot and the customers in its most general form. On the other hand, vehicle routing …

Abstract The Vehicle Routing Problem with Divisible Deliveries and Pickups (VRPDDP) is
under-explored in the literature, yet it has a wide application in practice in a reverse logistics …

Abstract The Vehicle Routing Problem with Simultaneous Pickup-Delivery and Time
Windows (VRPSPDTW) has attracted much research interest in the last decade, due to its …

Research on metaheuristics has focused on (novel) algorithmic development and on
competitive testing, both of which have been frequently argued to yield little generalizable …

Vehicle routing problem with simultaneous pickup–delivery and time window (VRPSPDTW)
is computationally challenging as it generalizes the classical and NP-hard vehicle routing …